M. Tech. Process Control and Instrumentation Engineering

Embed Size (px)

Citation preview

M.E. Process Control & Instrumentation Engg.

1

2

M.E. Process Control & Instrumentation Engg.

ACADEMIC REGULATIONS (M.E. M.Tech / M.B.A. / M.C.A.) 1. Vision, Mission and Objectives

/

To inculcate a flair for research, development and entrepreneurship.

2. Admission1.1 The Vision of the Institute is To make everyone a success and no one a failure. In order to progress towards the vision, the Institute has identified itself with a mission to provide every individual with a conducive environment suitable to achieve his / her career goals, with a strong emphasis on personality development, and to offer quality education in all spheres of engineering, technology, applied sciences and management, without compromising on the quality and code of ethics. 1.2 Further, the institute always strives To train our students with the latest and the best in the rapidly changing fields of Engineering, Technology, Manage ment, Science & Humanities. To develop the students with a global outlook possessing, state of the art skills, capable of taking up challenging responsibilities in the respective fields. To mould our students as citizens with moral, ethical and social values so as to fulfill their obligations to the nation and the society. To promote research in the field of science, Humanities, Engineering, Technology and allied branches. 2.1. The admission policy and procedure shall be decided from time to time by the Board of Management (BOM) of the Institute, following guidelines issued by Ministry of Human Resource Develop ment (MHRD). Government of India. The number of seats in each branch of the (M.E. / M.B.A. / M.C.A.) programme will be decided by BOM as per the directives from Ministry of Human Resource Development (MHRD), Government of India and taking into account the market demands. Some seats for Non Resident Indians and a few seats for Foreign nationals shall be made available. 2.2. The selected candidates will be admitted to the (M.E. / M.Tech / M.B.A. / M.C.A.) programme after he/she fulfills all the admission requirements set by the Institute and after payment of the prescribed fees. 2.3. Candidates for admission to the first semester of the Masters Degree Programme shall be required to have passed in an appropriate Degree Examination recognized by Hindustan University 2.4. In all matters relating to admission to the (M.E. / M.Tech / M.B.A. / M.C.A.). programme, the decision of the Institute and its interpretation given by the Chancellor of the Institute shall be final. 2.5. If at any time after admission, it is found that a candidate has not fulfilled any of the requirements stipulated by the Institute, the Institute may revoke the admission of the candidate with information to the Academic Council.

1.3 Our aims and objectives are focused on Providing world class education in engineering, technology, applied science and management. Keeping pace with the ever changing technological scenario to help our students to gain proper direction to emerge as competent professionals fully aware of their commitment to the society and nation.

M.E. Process Control & Instrumentation Engg.

3

3. Structure of the programme3.1. The programme of instruction will have the following structure i) Core courses of Engineering / Technology / Management. ii) Elective courses for specialization in areas of students choice. 3.2. The minimum durations of the programmes are as given below: Program M.E. / M.Tech M.B.A. (Full Time) M.B.A. (Part Time) M.C.A. No. of Semesters 4 4 6 6 Program M.E. / M.Tech M.B.A. (Full time / Part time) MCA

Minimum prescribed credit range 85 90 85 - 95 110 - 115

3.5. The medium of instruction, examination and the language of the project reports will be English. 4. Faculty Advisor 4.1. To help the students in planning their courses of study and for getting general advice on the academic programme, the concerned Department will assign a certain number of students to a Faculty member who will be called their Faculty Advisor. 5. Class Committee 5.1 A Class Committee consisting of the following will be constituted by the Head of the Department for each class: (i) A Chairman, who is not teaching the class. (ii) All subject teachers of the class. (iii) Two students nominated by the department in consultation with the class. The Class Committee will meet as often as necessary, but not less than three times during a semester. The functions of the Class Committee will include: (i) Addressing problems experienced by students in the classroom and the laboratories. (ii) Analyzing the performance of the students of the class after each test and finding ways and means of addressing problems, if any.

Every (M.E./ M.Tech / M.B.A. / M.C.A.) programme will have a curriculum and syllabi for the courses approved by the Academic Council. 3.3. Each course is normally assigned certain number of credits. The following norms will generally be followed in assigning credits for courses. One credit for each lecture hour per week per semester; One credit for each tutorial hour per week per semester; One credit for each laboratory practical (drawing) of three (two) hours per week per semester. One credit for 4 weeks of industrial training and One credit for 4 hours of project per week per semester 3.4. For the award of degree, a student has to earn certain minimum total number of credits specified in the curriculum of the relevant branch of study. The curriculum of the different programs shall be so designed that the minimum prescribed credits required for the award of the degree shall be within the limits specified below.

4

M.E. Process Control & Instrumentation Engg.

(iii) During the meetings, the members shall express the and suggestions of the class to improve the teaching / process. 6. Grading

student opinions students learning

6.4 Raw marks will be moderated by a moderation board appointed by the Vice Chancellor of the University. The final marks will be graded using absolute grading system. The Constitution and composition of the moderation board will be dealt with separately. 7. Registration and Enrollment

6.1 A grading system as below will be adhered to. Range of Marks 95-100 85 - 94 75- 84 65-74 55-64 50-54 < 50 Grade points 10 09 08 07 06 05 00 --

Letter Grade S A B C D E U I (Incomplete)

7.1 Except for the first semester, registration and enrollment will be done in the beginning of the semester as per the schedule announced by the University. 7.2 A student will be eligible for enrollment only if he/she satisfies regulation 10 (maximum duration of the programme) and will be permitted to enroll if (i) he/she has cleared all dues in the Institute, Hostel & Library up to the end of the previous semester and (ii) he/she is not debarred from enrollment by a disciplinary action of the University. 7.3. Students are required to submit registration form duly filled in. 8. Registration requirement 8.1. A full time student shall not register for less than 16 credits or more than 24 credits in any 12 given semester. 8.2 If a student finds his/her load heavy in any semester, or for any other valid reason, he/she may withdraw from the courses within three weeks of the commencement of the semester with the written approval of his/her Faculty Advisor and HOD. However the student should ensure that the total number of credits registered for in any semester should enable him/her to earn the minimum number of credits per semester for the completed semesters. 9. Minimum requirement to continue the programme 9.1 For those students who have not earned the minimum required credit

6.2 GPA & CGPA GPA is the ratio of the sum of the product of the number of credits Ci of course i and the grade points Pi earned for that course taken over all courses i registered by the student to the sum of Ci for all i . That is,

Ci Pi Ci i CGPA will be calculated in a similar manner, at any semester, considering all the courses enrolled from first semester onwards.6.3. For the students with letter grades W / I in certain subjects, the same will not be included in the computation of GPA and CGPA until after those grades are converted to the regular grades S to U.

GPA

i

M.E. Process Control & Instrumentation Engg.

5

prescribed for that particular semester examination, awarring letter to the concerned student and also to his parents regarding the shortage of this credit will be sent by the HOD after the announcement of the results of the university examinations. 10. Maximum duration of the programme The minimum and maximum period for the completion of various programs are given below. Max. Min. No. of No. of Semesters Semesters 4 4 6 6 8 8 10 12

(Academic) to recommend to the Vice Chancellor the implementation of the decision. The student concerned may appeal to the Vice Chancellor whose decision will be final. The Dean (Academic) will report the action taken at the next meeting of the Council. 12.3. Ragging and harassment of women are strictly prohibited in the University campus and hostels. 13. Attendance

Program M.E . M,Tech M.B.A. (Full Time) M.B.A. (Part Time) M.C.A.

13.1. A student whose attendance is less than 75% is not eligible to appear for the end semester examination for that course. The details of all students who have attendance less than 75% will be announced by the teacher in the class. These details will be sent to the concerned HODs and Dean. 13.2. Those who have 75% or more attendance for the period other than their medical leave will be considered for condonation of shortage of attendance provided the overall attendance in the course including the period of illness does not fall below 65%. Application for condonation recommended by the Faculty Advisor, concerned faculty member and the HOD is to be submitted to the Dean who, depending on the merit of the case, may permit the student to appear for the end semester examination. A student will be eligible for this concession at most in two semesters during the entire degree programme. Application for medical leave, supported by medical certificate with endorsement by a Registered Medical Officer, should reach the HOD within seven days after returning from leave or, on or before the last instructional day of the semester, whichever is earlier. 13.3. As an incentive to those students who are involved in extra curricular activities such as representing the University in Sports and Games,

11. Temporary discontinuation 11.1. A student may be permitted by the Dean to discontinue temporarily from the programme for a semester or a longer period for reasons of ill health or other valid reasons. Normally a student will be permitted to discontinue from the programme only for a maximum duration of two semesters. 12. Discipline 12.1. Every student is required to observe discipline and decorous behavior both in-side and outside the campus and not to indulge in any activity which will tend to bring down the prestige of the University. 12.2. Any act of indiscipline of a student reported to the Dean (Academic) will be referred to a Discipline Committee so constituted. The Committee will enquire into the charges and decide on suitable punishment if the charges are substantiated. The committee will also authorize the Dean

6

M.E. Process Control & Instrumentation Engg.

Cultural Festivals, and Technical Festivals, NCC/ NSS events, a relaxation of up to 10% attendance will be given subject to the condition that these students take prior approval from the officer in-charge. All such applications should be recommended by the concerned HOD and forwarded to Dean within seven instructional days after the programme/activity. 14. Assessment Procedure 14.1. The Academic Council will decide from time to time the system of tests and examinations in each subject in each semester. 14.2. For each theory course, the assessment will be done on a continuous basis as follows:Duration of Test / Exam 1 Period 1 Period 2 Periods 3 Hours

concerned within five days after he / she missed examination, giving reasons for absence. 15.2. Permission to appear for make-up examination/periodical test will be given under exceptional circumstances such as admission to a hospital due to illness. Students should produce a medical certificate issued by a Registered Medical Practitioner certifying that he/she was admitted to hospital during the period of examination / periodical test and the same should be duly endorsed by parent/guardian and also by a medical officer of the University within 5 days. 15.3. The student will be allowed to make up at the most two out of three periodical tests and end semester examination. 16. Project evaluation 16.1. For Project work, the assessment will be done on a continuous basis as follows: Review / Exam First Review Second Review Third Review End semester Exam Weightage 10% 20% 20% 50%

Test / Exam First Periodical Test Second Periodical Test Third Periodical Test End Semester Examination

Weightage

15% 15% 20% 50%

14.3. For practical courses, the assessment will be done by the subject teachers as below: (i) Weekly assignment/Observation note book / lab records weightage 60%. (ii) End semester examination of 3 hours duration including viva weightage 40%. 15. Make up Examination/periodical Test 15.1. Students who miss the end-semester examinations / periodical test for valid reasons are eligible for make-up examination /periodical test. Those who miss the endsemester examination / periodical test should apply to the Head of the Department

For end semester exam, the student will submit a Project Report in a format specified by the Dean. The first three reviews will be conducted by a Committee constituted by the Head of the Department. The end semester exam will be conducted by a Committee constituted by the Controller of Examinations. This will include an external expert.

17. Declaration of results 17.1 A candidate who secures not less than 50% of total marks prescribed for a course with a minimum of 50% of the

M.E. Process Control & Instrumentation Engg.

7

marks prescribed for the end semester examination shall be declared to have passed the course and earned the specified credits for the course. 17.2 After the valuation of the answer scripts, the tabulated results are to be scrutinized by the Result Passing Boards of UG and PG programmes constituted by the Vice-Chancellor. The recommendations of the Result Passing Boards will be placed before the Standing Sub Committee of the Academic Council constituted by the Chancellor for scrutiny. The minutes of the Standing Sub Committee along with the results are to be placed before the ViceChancellor for approval. After getting the approval of the Vice-Chancellor, the results will be published by the Controller of Examination/Registrar.

Registrar/Controller of Examinations through the Head of the Department. The Registrar/ Controller of Examination will arrange for the revaluation and the results will be intimated to the candidate concerned through the Head of the Department. Revaluation is not permitted for practical courses and for project work.

18. Grade Card 18.1. After results are declared, grade sheet will be issued to each student, which will contain the following details: (i) Program and branch for which the student has enrolled. (ii) Semester of registration. (iii) List of courses registered during the semester and the grade scored. (iv) Semester Grade Point Average (GPA) (v) Cumulative Grade Point Average (CGPA). 19. Class / Division Classification is based on CGPA and is as follows: CGPA 8.0: First Class with distinction 6.5 CGPA < 8.0: First Class 5.0 CGPA < 6.5: Second Class.

17.3 If a candidate fails to secure a pass in a course due to not satisfying the minimum requirement in the end semester examination, he/she shall register and reappear for the end semester examination during the following semester. However, the internal marks secured by the candidate will be retained for all such attempts.

17.4 If a candidate fails to secure a pass in a course due to insufficient internal marks though meeting the minimum requirements of the end semester examination, wishes to improve on his/her internal marks, he/she will have to register for the particular course and attend the course with permission of the HOD concerned and Dean with a copy marked to the Registrar. The sessional and external marks obtained by the candidate in this case will replace the earlier result. 17.5 A candidate can apply for the revaluation of his/her end semester examination answer paper in a theory course within 2 weeks from the declaration of the results, on payment of a prescribed fee through proper application to the

20. Transfer of credits 20.1. Within the broad framework of these regulations, the Academic Council, based on the recommendation of the transfer of credits committee so constituted by the Chancellor may permit students to earn part of the credit requirement in other approved institutions of repute and status in the country or abroad. 20.2. The Academic Council may also approve admission of lateral entry (who hold a diploma in Engineering/ technology) candidates with advance

8

M.E. Process Control & Instrumentation Engg.

credit based on the recommendation of the transfer of credits committee on a case to case basis. 21. Eligibility for the award of (M.E. / M.Tech / M.B.A. / M.C.A.) Degree 21.1. A student will be declared to be eligible for the award of the (M.E. / M.Tech / M.B.A. / M.C.A.). Degree if he/she has i) registered and successfully credited all the core courses, ii) successfully acquired the credits in the different categories as specified in the curriculum corresponding to the discipline (branch) of his/her study within the stipulated time, iii) has no dues to all sections of the Institute including Hostels, and iv) has no disciplinary action pending against him/her. The award of the degree must be recommended by the Academic Council and approved by the Board of Management of the University. 22. Power to modify 22.1. Notwithstanding all that has been stated above, the Academic Council has the right to modify any of the above regulations from time to time.

M.E. Process Control & Instrumentation Engg.

9

HINDUSTAN UNIVERSITY HINDUSTAN INSTITUTE OF TECHNOLOGY AND SCIENCE DEPARTMENT OF ELECTRONICS AND INSTRUMENTATION ENGINEERING M.E. PROCESS CONTROL & INSTRUMENTATION ENGINEERING CURRICULUM-2009 SEMESTER ITheory Sl. No 1. 2. 3. 4. 5. 6. Practical 7. EI 1604 Microcontroller Based System Design Laboratory Total 0 0 3 1 25 3 27 Course Code MA 1604 EE 1647 EI 1601 EI 1602 EI 1603 EI 16** Course Title Advanced Applied Mathematics Linear & Non-Linear System Theory Transducer Design MicroController Based System Design Communication Protocols for Instrumentation Elective - I L 3 3 3 3 3 3 T 1 1 1 1 1 1 P 0 0 0 0 0 0 C 4 4 4 4 4 4 TCH 4 4 4 4 4 4

SEMESTER - IITheory Sl. No 1. 2. 3. 4. 5. 6. Practical 7. EI 1610 Process Control & Instrumentation Laboratory Total 0 0 3 1 25 3 27 Course Code EI 1605 EI 1606 EI 1607 EI 1608 EI 1609 EI 16** Course Title Analog & Digital Instrumentation Optimal Control Theory Modern Control Theory Digital Control Theory Process Control System Components Elective- II L 3 3 3 3 3 3 T 1 1 1 1 1 1 P 0 0 0 0 0 0 C 4 4 4 4 4 4 TCH 4 4 4 4 4 4

10

M.E. Process Control & Instrumentation Engg.

SEMESTER - IIITheory Sl. No 1. 2. 3. Course Code EI 16** EI 16** EX 16** Course Title Elective -III Elective -IV Free Elective L 3 3 3 T 1 1 1 P 0 0 0 C 4 4 4 TCH 4 4 4

Practical 4. Total EI 1691 Project Phase- I 0 0 12 6 18 12 24

SEMESTER IVTheory Sl. No 1. Course Code EI 1691 Project Phase-II Total Course Title L 0 T 0 P 24 C 12 12 TCH 24 24

LIST OF ELECTIVESSl. No 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Course Code EC1644 EE 1601 EE 1643 EI 1611 EI 1612 EI 1613 EI 1614 EI 1615 EI 1616 EX16** Advanced Digital System Design Intelligent Control Advanced Topics in Process Instrumentation Systems Instrumentation in Petrochemical Industries. Instrumentation in Automotive Industries Advanced Process Instrumentation Industrial Automation Articial Intelligences Free Elective (To be opted from other Dept. Electives-- Subject to Approval) Course Title Advanced Digital Signal Processing for Instrumentation Engineers

TOTAL CREDITS : 80

M.E. Process Control & Instrumentation Engg.

11

MA 1604

SEMESTER I ADVANCED APPLIED MATHEMATICS L T P C 3 1 0 4

OBJECTIVES: To equip the students with knowledge of advanced mathematical techniques required for the analytical study of the technical subjects under applied electronics. UNIT I LINEAR ALGEBRAIC EQUATION AND EIGEN VALUE PROBLEM 9 System of Equations-Solution by Gauss Elimination, Gauss Jordan and LU decomposition method-Jacobi,Gauss Seidal iteration method-Eigen values of a matrix by Jacobi and Power methods. UNIT II WAVE EQUATION 9 Solution on initial and boundary value problems-Characteristics DAlemberts Solution-Signicance of characteristic curves Laplace transform solutions for displacement in a long string a long string under its weight Longitudinal vibration of a elastic bar with prescribed force on one end free vibrations of a string. UNIT - III SPECIAL FUNCTIONS 9

Bessels equation - Bessel Functions- Legendres equation - Legendre polynomials - Rodrigues formula - Recurrence relations- generating functions and orthogonal property for Bessel functions - Legendre polynomials. UNIT IV RANDOM VARIABLES 9 One-dimensional Random variables Moments and MGF Binomial , Poisson, Geometrical, Uniform, Exponential, Normal and Weibull distributions Two- dimensional Random Variables Marginal and Conditional distribution Covariance and correlation coefcient Functions of one dimensional and two dimensional Random Variables. UNIT V QUEUING THEORY 9 Single and Multiple server Markovian queuing models Steady state system size probabilities Littles formula Customer impatience Priority queues M/G/I queuing system P.K. formula. L = 45 T = 15 TOTAL = 60 REFERENCES : 1. Jain M.K., Iyengar.S.R.K & Jain.R.K, Numerical Methods for Scientic and Engineering Computation New Age International (P) Ltd, Publishers, 2007. 2. Sankara Rao.K, Introduction to Partial Differential Equation, Prentice Hall of India, 2006.

12

M.E. Process Control & Instrumentation Engg.

EE 1647 LINEAR AND NON-LINEAR SYSTEM THEORY L T P C 3 1 0 4 OBJECTIVE: To provide an insight theory on linear and non linear control systems UNIT I PHYSICAL SYSTEMS AND STATE ASSIGNMENT 9 Systems: Electrical - Mechanical Hydraulic Pneumatic Thermal systems Modelling of some typical systems like DC Machines - Inverted Pendulum. UNIT II STATE SPACE ANALYSIS 9 Realization of State models: Non-uniqueness - Minimal realization Balanced realization Solution of state equations: State transition matrix and its properties - Free and forced responses Properties: Controllability and Observability- Stabilisability and detectability Kalman decomposition. UNIT III MIMO SYSTEMS FREQUENCY DOMAIN DESCRIPTIONS 9 Properties of transfer functions Impulse response matrices Poles and zeros of transfer function matrices Critical frequencies Resonance Steady state and dynamic response BandwidthNyquist plots-Singular value analysis. UNIT IV NON-LINEAR SYSTEMS 9 Types of non-linearity Typical examples Equivalent linearization - Phase plane analysis Limit cycles Describing functions- Analysis using Describing functions- Jump resonance. UNIT V STABILITY 9 Stability concepts Equilibrium points BIBO and asymptotic stability Direct method of Liapunov Application to non-linear problems Frequency domain stability criteria Popovs method and its extensions. L = 45 T = 15 TOTAL = 60 REFERENCES : 1. T.Glad and L.Ljung, Control Theory Multivariable and Non-linear methods, Taylor and Francis, New York, 2000. 2. M.Gopal, Modern Control Engineering, Wiley, 1996. 3. J.S. Bay, Linear State Space Systems, McGraw-Hill, 1999. 4. Eroni-Umez and Eroni, System dynamics & Control, Thomson Brooks/ Cole, 1998. 5. K. Ogata, Modern Control Engineering, Pearson Education Asia, 2002. 6. G.J.Thaler, Automatic Control Systems, Jaico publishers, 2005.

M.E. Process Control & Instrumentation Engg.

13

EI 1601

TRANSDUCER DESIGN L T P C 3 1 0 4

OBJECTIVES : To impart knowledge about the principles and analysis of sensors. Emphasis on characteristics and response of transducers. To have an adequate knowledge in design of electro mechanical transducers. UNIT I FUNDAMENTALS 9 Review of Fundamentals of Transducers for measurement of physical parameters i.e. DisplacementPressure - Force - Flow - Stress - Strain - Velocity - Vibration - Torque - Temperature - pH Conductivity - Proximity sensors - Chemical parameters - Biomedical parameters i.e. Pathological parameters - Detection of alpha, beta and gamma radiation. UNIT II SIGNAL CONDITIONERS 9 Review of signal conditioners for: Strain Gauge Transducers - Inductive Transducers - Magnetic - Magneto-strictest - Piezo Electric Transducers - Optical Transducers - Capacitive Transducers - Vibrating wire - Review of Processors for Analog and Digital Signals - Review of Various Input and Output Display Systems. UNIT III ELECTROMECHANICAL TRANSDUCERS 9 Design of Electromechanical Transducers for: Force - Pressure - Stress - Vibration using Straingauge - LVDT - Capacitive Elements - Optical Device - Application in design case such as measurements for Hydraulic and Pneumatic Machinery like Turbines - Aircraft Systems and Ship Machinery. UNIT IV SELECTION CRITERIA & APPLICATION 9 Discussion of Selection Criteria for each of above cases: Design of Electromechanical Transducers for Torque, Flow and Velocity - Application in design case from Automobile for Torque - Liquid Flow for Flow and Velocity - Inclination/Tilt - Rotation and Gyration of Machinery like Winches, Earth Movers, Fork lifts, Giant Wheels, Space Craft etc - Discussion on design criteria for three component and six component dynamometers both pure mechanical and electromechanically designs - Discussion on Multi-output (including digital) Transducers for various applications. UNIT V CASE STUDIES 9 Case Studies for: Chemical Sensors, Bio sensors, Gas Sensors. Discussions on Nano Sensors and MEMS applications - Application of LASER for various measurements like: alignment, distance, velocimetry for convection and liquid ow, angular rotation - Applications of LASER for micromachining, printing and compact discs like CD and DVD, Weapons, welding, surface hardening, cutting, nuclear fusion. L = 45 T = 15 Total = 60 TEXT BOOKS : 1. H K P Neubert, Instrument Transducers, Oxford University Press, 1999 2. Bella G Liptak, Instrument Engineers Handbook, Vol 1, 2 and 3, 4th edition, CRC Press, 2005. 3. C.S. Rangan, G.R. Sarma and V.S.V. Mani Instrumentation Devices and Systems Tata McGraw-Hill Publishing Company Ltd. New Delhi, 2004.14M.E. Process Control & Instrumentation Engg.

REFERENCES : 1. J. Wilson, J.F.B. Hawkes, Laser Principles and Applications, Prentice-Hall, New York, 1987. 2. J. Wilson, Optoelectronics, 2nd Edition, Prentice-Hall, India. 2003. EI 1602 MICROCONTROLLER BASED SYSTEM DESIGN L T P C 3 1 0 4 OBJECTIVE : To provide experience to design digital and analog hardware interface for microcontrollerbased systems. To provide experience to integrate hardware and software for microcontroller applications. To provide experience to debug a microcontroller-based system and to analyze its performance using advanced debug tools and electronic test instrumentation. UNIT I 8051 ARCHITECTURE 9 Basic Organization Timing Diagrams: Fetch And Execute Cycle Instruction Set: Basic Operations, Addressing Modes. UNIT II PERIPHERALS AND INTERFACING 9 Typical Bus Structure Bus- Memory - Timing Characteristics - Extended Mode And Memory Interfacing - Polling - Interrupts- Serial Ports- Analog And Digital Interfaces. UNIT III COMPUTATION 9 Assembly Language- Simple Programs- Usage of Timers- Generation of PWM, Other SignalsInterfacing Basic I/O Devices. UNIT IV PIC ARCHITECTURE 9 CPU Operation Interrupt Structure Timers Analog Interface Serial Ports- I/O Ports - Watchdog Timers. UNIT V CASE STUDY 9 Real Time Clock- DC Motor Speed Control- Generation Of Gating Signals For Converters And Inverters- Frequency Measurement Temperature Control. L = 45 T= 15 TOTAL = 60 REFERENCES : 1. John B. Peatman, "Design with micro - controllers", McGraw Hill International Ltd, Singapore, 1989. 2. Intel manual on 16 bit embedded controllers, Santa Clara, 1991. 3. Myko Predko. Programming and customizing the 8051 microcontroller, Tata McGraw-Hill, 1999. 4. Muhammad Ali Mazidi, Janice Gillispie Mazidi. The 8051Microcontroller And Embedded systems, Pearson Education, 2004. 5. Michael Slater, Microprocessor based design ", A Comprehensive guide to effective hardware design, Prentice Hall, New Jersey, 1989.

M.E. Process Control & Instrumentation Engg.

15

EI 1603

COMMUNICATION PROTOCOLS FOR INSTRUMENTATION L T P C 3 1 0 4

OBJECTIVE : To give exposure to Hierarchical Structure of networks used in Automation and Control Systems To Understand ISO OSI Seven Layer Communication Structure To Learn communication interfaces viz. RS 232, RS485, Ethernet To Learn communication protocols viz. Modbus UNIT I INTRODUCTION 9 An Introduction to Networks in process automation: Information ow requirements - Hierarchical communication model - Data Communication basics - OSI reference model - Industry Network - Recent networks. UNIT II COMMUNICATION PROTOCOLS 9 Introduction to Communication Protocols: Communication basics - Network Classication - Device Networks - Control Networks - Enterprise Networking - Network selection. UNIT III NETWORK ARCHITECTURES 9 Proprietary and open networks: Network Architectures - Building blocks - Industry open protocols (RS-232C, RS- 422, and RS-485) - Ethernet - Modbus - Modbus Plus - Data Highway Plus Advantages and Limitations of Open networks - IEEE 1394. UNIT IV FIELD BUS 9 Field bus: Field bus Trends - Hardware selection - Field bus design - Installation - Documentation, Field bus advantages and limitations - HART: Introduction - Design - Installation - calibration, commissioning - Application in Hazardous and Non-Hazardous area. UNIT V PLANNING AND COMMISSIONING 9 Foundation Field bus & Probus: Introduction - Design - Calibration - Commissioning - Application in Hazardous and Non-Hazardous area - Introduction to wireless Protocols: WPAN - Wi-Fi - Bluetooth - ZigBee - Z-wave. L = 45 T = 15 Total = 60 REFERENCES : 1. B.G. Liptak, Process Software and Digital Networks', CRC Press ISA-, 2002. 2. Romilly Bowden , HART Communications Protocol, Fisher-Rosemount, 2003. 3. User Manuals of Foundation Field bus, Probus, Modbus, Ethernet, Device net, Control net.

16

M.E. Process Control & Instrumentation Engg.

EI 1604

EI 16** ELECTIVE I (Refer Elective list) MICROCONTROLLER BASED SYSTEM DESIGN LABORATORY L T P C 0 0 3 1

OBJECTIVE : To equip students with skills in Designing of Microcontroller based systems. LIST OF EXPERIMENTS 1. System Design Study using Atmel, PIC Microcontrollers. 2. System Design for interfacing various parallel communication protocols. 3. System Design for interfacing various serial communication protocols. 4. System Design for Digital Input and Out put 5. System design for Analog input and output. P = 45 Total = 45

SEMESTER II EI 1605 ANALOG AND DIGITAL INSTRUMENTATION L T P C 3 1 0 4 OBJECTIVE : To study about various Data Acquisition and Transmission System To study about various PC based Control and Instrumentation UNIT I BASIC BLOCKS 9 Overview of A/D converter, types and characteristics-Understanding Data acquisition, A/D and S/H terms-passive support and Active support components-Single and Multi-slope, Low cost A/D conversion techniques, types-Electromechanical A/D converter. UNIT II DATA ACQUISITION SYSTEMS 9 Objective - Building blocks of Automation systems Multi, Single channel Data Acquisition systems, PC based DAS, Data loggers- Sensors based computer data systems. UNIT III INTERFACING AND DATA TRANSMISSION 9 Data transmission systems- 8086 Microprocessor based system design - Peripheral Interfaces Time Division Multiplexing (TDM) Digital Modulation Pulse Modulation Pulse Code Format Interface systems and standards Communications. UNIT IV PC BASED INSTRUMENTATION 9 Introduction - Evolution of signal Standard - HART Communication protocol -Communication modes - HART networks - control system interface - HART commands -HART eld controller implementation - HART and the OSI model - Field bus Introduction - General eld bus architecture - Basic requirements of eld bus standard -eld bus topology - Interoperability interchangeability Instrumentation buses-Mod bus - GPIB - Network buses Ethernet - TCP/IP protocolsM.E. Process Control & Instrumentation Engg.

17

UNIT V CASE STUDIES 9 PC based industrial process measurements like ow, temperature, pressure and level PC based instruments development system. L = 45 T = 15 Total = 60 REFERENCE BOOKS: 1. Kevin M. Daugherty, Analog to Digital conversion A Practical Approach, McGraw Hill International Editions, 1995 2. N. Mathivanan, Microprocessors, PC Hardware and Interfacing, Prentice Hall of India Pvt. Ltd., 2003. 3. Krishna Kant Computer- based Industrial Control ,Prentice- Hall of India Pvt. Ltd., 2004. 4. H S. Kalsi, Electronic Instrumentation, Technical Education Series Tata McGraw-Hill, 2004. 5. Buchanan, Computer busses, Arnold, London, 2000.

EI 1606 OPTIMAL CONTROL THEORY L T P C 3 1 0 4 OBJECTIVE : 1. To provide a basic knowledge of the theoretical foundations of optimal control. 2. To develop the skill needed to design controllers using optimal control theory 3. To introduce to current research in optimization methods for robust control. UNIT I INTRODUCTION 8 Statement of optimal control problem Problem formulation and forms of optimal control Selection of performance measures. Necessary conditions for optimal control Pontryagins minimum principle State inequality constraints Minimum time problem. UNIT II LQ CONTROL PROBLEMS AND DYNAMIC PROGRAMMING 10 Linear optimal regulator problem Matrix Riccatti equation and solution method Choice of weighting matrices Steady state properties of optimal regulator Linear tracking problem LQG problem Computational procedure for solving optimal control problems Characteristics of dynamic programming solution Dynamic programming application to discrete and continuous systems Hamilton Jacobi Bellman equation. UNIT III NUMERICAL TECHNIQUES FOR OPTIMAL CONTROL 9 Numerical solution of 2-point boundary value problem by steepest descent and Fletcher Powell method solution of Ricatti equation by negative exponential and interactive methods. UNIT IV FILTERING AND ESTIMATION 9 Filtering Linear system and estimation System noise smoothing and prediction Gauss Markov discrete time model Estimation criteria Minimum variance estimation Least square estimation Recursive estimation.

18

M.E. Process Control & Instrumentation Engg.

UNIT V KALMAN FILTER AND PROPERTIES 9 Filter problem and properties Linear estimator property of Kalman Filter Time invariance and asymptotic stability of lters Time ltered estimates and signal to noise ratio improvement Extended Kalman lter. L = 45, T=15, TOTAL = 60 REFERENCES : 1. Krik D.E., Optimal Control Theory An introduction, Dover Publications, 2004. 2. Sage, A.P., Optimum System Control, Prentice Hall, 1968. 3. Anderson, BD.O. And Moore J.B., Optimal Filtering, Dover Publications, 2005. 4. S.M. Bozic, Digital and Kalman Filtering, Edward Arnould, London, 1994. 5. Astrom, K.J., Introduction to Stochastic Control Theory, Dover Publications, 2006.

EI 1607 MODERN CONTROL THEORY L T P C 3 1 0 4 OBJECTIVE : To review Process Modeling and Classical Control Theory concepts. To analyze and design of control schemes in the discrete-time domain. UNIT I INTRODUCTION 9 State Space analysis of continuous time multivariable systems: State equations for dynamic systems, State equations using phase, physical and canonical variables, realization of transfer matrices, Minimal realization, Solution of state equation, concepts of controllability, reachability, observability, Controllability and Observability tests: Kalman's test matrix, Gilbert's test, PopovBelevitch-Hautus test, stability. UNIT II DISCRETE TIME CONTROL SYSTEMS 9 Discrete time control systems: sampling theorem, pulse transfer function, modied Z-transform, stability analysis. UNIT III STATE SPACE ANALYSIS 9 State space analysis of discrete time multivariable systems: Discretization of State equations for dynamic systems, State equations using phase, physical and canonical variables, realization of transfer matrices, Minimal realization, Solution of state equation, stability. UNIT IV SYSTEM REALIZATION 9 State Space and Matrix-Fraction Descriptions of Multivariable systems: State observability, controllability and matrix-fraction descriptions, Some properties of polynomial matrices, Some basic state space realization, The Smith-McMillan form of a transfer function matrix, Poles and Zeros of a transfer function matrix, Matrix-fraction description (MFD) of a transfer function, State space realization from a transfer function matrix, Internal stability, The generalized Nyquist and inverse Nyquist stability criterion. UNIT V AFFINE PARAMETERIZATION 9 Controller parameterization: Afne parameterization for stable systems, PID synthesis using AfneM.E. Process Control & Instrumentation Engg.

19

parameterization, Afne parameterization for systems with dead time. Afne parameterization of multivariable control systems. L = 45 T = 15 Total = 60 REFERENCE BOOKS: 1. Chi-Tsong, Linear Systems: Theory & Design, Oxford University Press, 1999. 2. Gopal M., Modern Control Systems Theory, New Age International New Delhi, 2009. 3. Goodwin, Graebe S F & Salgado M E, Control System Design, Prentice Hall of India, 2002. 4. Ogata K., Modern Control Engineering, Prentice Hall of India, 2001. 5. G.F.Franklin, J.David Powell, Michael Workman, Digital control of Dynamic Systems, 3rd Edition, Addison Wesley, 2000. 6. M.Gopal, Digital Control and State Variable Method, Tata-McGraw Hill, Delhi, 2006. 7. Shinners S M, Modern Control System: Theory & Design, Wiley Inter-science Pubs., 1998.

EI 1608

DIGITAL CONTROL THEORY L T P C 3 1 0 4

OBJECTIVE : To provide access to the basic design and analysis of practical discrete-time and sampled data control systems To give an exposure to discrete-time control systems, with equal emphasis on the basics of computer controlled systems, observer design UNIT I INTRODUCTION 9 Sampling and holding Sample and hold devices D/A and A/D conversion Reconstruction Z transform Inverse Z transform Properties Pulse transfer function and state variable approach Review of controllability, observability. UNIT II DESIGN USING TRANSFORM TECHNIQUES Methods of discretisation Comparison Direct design Frequency response methods. 9

UNIT III DESIGN USING STATE SPACE TECHNIQUES 9 State space design Pole assignment Optimal control State estimation in the presence of noise Effect of delays. UNIT IV COMPUTER BASED CONTROL 9 Selection of processors Mechanization of control algorithms PID control laws predictor merits and demerits Application to temperature control Control of electric drives Data communication for control. UNIT V QUANTIZATION EFFECTS AND SAMPLE RATE SELECTION 9 Analysis of round off error Parameter round off Limit cycles and dither Sampling theorem limit Time response and smoothness Sensitivity to parameter variations Measurement noise and antialising lter Multirate sampling. L = 45 T = 15 Total = 6020M.E. Process Control & Instrumentation Engg.

REFERENCES BOOKS: 1. Gopal.M., Digital control Systems , McGraw Hill Education, 2003. 2. G.F.Franklin, J.David Powell, Michael Workman, Digital control of Dynamic Systems, 3rd Edition, Ellis Kagle Press, 2006. 3. Paul Katz, Digital control using Microprocessors, Prentice Hall, 1981. 4. Forsytheand.W.Goodall.R.N., Digital Control, McMillan, 1991. 5. C.J. Chesmond, P.A. Wilson, M.R.Le Pla, Advanced Control System Technology, Viva low price edition, 1998.

EI 1609 PROCESS CONTROL SYSTEM COMPONENTS L T P C 3 1 0 4 OBJECTIVES : To design sensors for various industrial parameters To study Computer based controllers UNIT I DESIGN OF FLOW AND TEMPERATURE SENSORS 9 Orice meter Design of Orice for given ow conditions Design of Rotameter Design of RTD measuring circuit Design of cold junction compensation circuit for thermocouple using RTD Transmitters Zero and span adjustment in D/P transmitters and temperature transmitters. UNIT II DESIGN OF PRESSURE SENSORS 9 Bourdon gauges factors affecting sensitivity design of Bourdon tube Design of air purge system for level measurement. Design of Electrical methods in pressure measuring - strain gauges. UNIT III PUMPS 9 Type of pumps Pump performance pipe work calculation characteristics of different pumpspump operation, maintenance instruments used in pumping practice pump noise and vibration selection of pumps. UNIT IV MICROPROCESSOR BASED CONTROLLERS 9 Design of microprocessor based system for data acquisition Design of microprocessor based PID controller D.C motor speed control Temperature control. UNIT V COMPUTER BASED CONTROLLERS 9 Design of computer controlled system Software design, Single program approach, Multi Testing Approach, Structured development for real time systems, computerized distributed control system; Merits and demerits, requirements and topologies of distributed control system. L = 45 T = 15 TOTAL = 60 TEXT BOOKS : 1. N.A. Anderson Instrumentation for process measurement and control CRC Press, 1997. 2. D.M. Considine Process Instruments and controls Handbook McGraw Hill Book Co., 1993.M.E. Process Control & Instrumentation Engg.

21

REFERENCES : 1. R.H. Warring Pumping Manual, Gulg Publishing Co., 1984. 2. J.P. Bentley, Principles of measurement systems, Pearson Prentice Hall, 2005. 3. C.D. Johnson, Process control instrumentation Technology Prentice Hall Inc., 2007.

EI 1610

EI 16** ELECTIVE II (Refer Elective list) PROCESS CONTROL & INSTRUMENTATION LABORATORY L T P C 0 0 3 1

OBJECTIVE : To equip students with skills in various packages like MATLAB, LABVIEW, etc. To give exposure in PC based Digital control system techniques. LIST OF EXPERIMENTS 1. Study of MATLAB, LABVIEW and MATHCAD on control applications. 2. Study of Data Loggers / Data Acquisition Systems. 3. Experimental modelling of Transducers 4. Simulation of Electric drives with P, PI and PID controllers using MATLAB / MATHCAD 5. Interfacing PC with Real-time systems. 6. Digital position control system. 7. Digital control of second-order plan using Micro controllers. 8. Digital temperature and level control. 9. Design and analysis of second-order lters. 10. Design of Programmable Logic Controllers for real-time systems. P= 45 Total = 45 SEMESTER III EI 16** ELECTIVE III (Refer Elective list) L T P C 3 1 0 4 EI 16** ELECTIVE IV (Refer Elective list) L T P C 3 1 0 4 EX 16** Free Elective (To be opted from other Dept. Electives-- Subject to Approval)

22

M.E. Process Control & Instrumentation Engg.

EI 1691

PROJECT WORK (PHASE I) L T P C 0 0 1 2

SEMESTER IV EI 1691 PROJECT WORK (PHASE II) L T P C 0 0 2 4 LIST OF ELECTIVES : EC 1644 ADVANCED DIGITAL SIGNAL PROCESSING FOR INSTRUMENTATION ENGINEERS L T P C 3 1 0 4 OBJECTIVE : To educate the students with Advanced DSP techniques. UNIT I FREQUENCY ANALYSIS 9 Time Frequency analysis: Need for Time Frequency analysis, Time Frequency distribution, Short Time Fourier Transform, Wigner distribution. Multirate digital signal processing: Basic multirate operation (up sampling, down sampling), Efcient structures for decimation and interpolation, Decimation and interpolation with polyphase lters, Noninteger sampling rate conversion , Efcient multirate ltering Applications, Over sampled A/D and D/A converter. UNIT II STOCHASTIC PROCESSES 9 Stochastic Processes: Introduction, WSS signals and linear systems, spectral factorization, models of stochastic processes, vector processes. UNIT III SPECTRUM ESTIMATION 9 Spectral estimation: Periodogram - based nonparametric methods: Periodogram, Bartlett's method, Welch's method, Blackman-Tukey method. Parametric methods for power spectrum estimation: ARMA modelling, Yule- Walker Equation and solution. UNIT IV ADAPTIVE FILTERING 9 Adaptive ltering : Principles of Adaptive ltering , LMS and RMS Algorithms, Applications in noise and echo cancellation, Homomorphic Signal Processing , homomorphic system for convolution, properties of complex-spectrum, Applications of homomorphic deconvolution. UNIT V SIGNAL ANALYSIS 9 Multiresolution Signal analysis, Decompositions, transforms , Subbands and wavelets, Orthogonal transforms : Cosine , Sine , Hermite Walsh Fourier, Theory of subband decomposition , decimation ,interpolation , Design of QMF lter banks ,Wavelet transforms Applications: International Standards for speech, image and video compression for personnel communication, Digital broadcasting and multimedia systems. L = 45 T = 15 Total = 60M.E. Process Control & Instrumentation Engg.

23

TEXT BOOKS : 1. J. Proakis , Charles M. Rader, Fuyun Ling, Christopher L. Nikias, Advanced Digital Signal Processing, Macmillan Coll Div, 1992 2. Glenn Zelniker, Fred J. Taylor, Advanced Digital Signal Processing, CRC Press, 1994. REFERENCES : 1. Leon Cohen, "Time Frequency Analysis", Prentice Hall, 1995. 2. Haykins, "Adaptive Filter theory", Prentice Hall 2001 3. J. Proakis , Charles M. Rader, Fuyun Ling, Christopher L. Nikias, Digital Signal Processing,Macmillan Coll Div, 1992 4. A.V.Oppenheim, R.W.Schafer, J.R. Buck "Discrete time Signal Processing", Prentice Hall, 1999.

EE 1601 ADVANCED DIGITAL SYSTEM DESIGN L T P C 3 1 0 4 OBJECTIVE : To acquaint the students with the advanced topics in the Digital Systems. UNIT I SEQUENTIAL CIRCUIT DESIGN 9 Analysis of Clocked Synchronous Sequential Networks (CSSN) - Modelling of CSSN State Stable Assignment and Reduction Design of CSSN Design of Iterative Circuits ASM Chart ASM Realization. UNIT II ASYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN 9 Analysis of Asynchronous Sequential Circuit (ASC) Flow Table Reduction Races in ASC State Assignment Problem and the Transition Table Design of ASC Static and Dynamic Hazards Essential Hazards Data Synchronizers Designing Vending Machine Controller Mixed Operating Mode Asynchronous Circuits. UNIT III FAULT DIAGNOSIS AND TESTABILITY ALGORITHMS 9 Fault Table Method Path Sensitization Method Boolean Difference Method Kohavi Algorithm Tolerance Techniques The Compact Algorithm Practical PLAs Fault in PLA Test Generation Masking Cycle DFT Schemes Built-in Self Test. UNIT IV SYNCHRONOUS DESIGN USING PROGRAMMABLE DEVICES 9 EPROM to Realize a Sequential Circuit Programmable Logic Devices Designing a Synchronous Sequential Circuit using a GAL EPROM Realization State machine using PLD FPGA Xilinx FPGA Xilinx 2000 - Xilinx 3000 UNIT V SYSTEM DESIGN USING VHDL 9 VHDL Description of Combinational Circuits Arrays VHDL Operators Compilation and Simulation of VHDL Code Modelling using VHDL Flip Flops Registers Counters Sequential Machine Combinational Logic Circuits - VHDL Code for Serial Adder, Binary Multiplier Binary Divider complete Sequential Systems Design of a Simple Microprocessor. L = 45 T = 15 Total = 6024M.E. Process Control & Instrumentation Engg.

REFERENCES : 1. Donald G. Givone Digital principles and Design Tata McGraw Hill, 2002. 2. John M Yarbrough Digital Logic applications and Design Thomson Learning, 2001 3. Nripendra N Biswas Logic Design Theory Prentice Hall of India, 2001 4. Charles H. Roth Jr. Digital System Design using VHDL Thomson Learning, 1998. 5. Charles H. Roth Jr. Fundamentals of Logic design Thomson Learning, 2004. 6. Stephen Brown and Zvonk Vranesic Fundamentals of Digital Logic with VHDL Design, Tata McGraw Hill, 2002. 7. Navabi.Z. VHDL Analysis and Modelling of Digital Systems McGraw International, 1998. 8. Parag K Lala, Digital System design using PLD BS Publications, 2003 9. Peter J Ashendem, The Designers Guide to VHDL Harcourt India Pvt Ltd, 2002 10. Mark Zwolinski, Digital System Design with VHDL Pearson Education, 2004 11. Skahill. K, VHDL for Programmable Logic Pearson education, 1996. EE 1643 INTELLIGENT CONTROL L T P C 3 1 0 4 OBJECTIVE : To acquaint the students in Articial networks and Fuzzy systems UNIT I INTRODUCTION 9 Approaches to intelligent control - Architecture for intelligent control - Symbolic reasoning system - Rule-based systems - The AI approach - Knowledge representation - Expert systems. UNIT II ARTIFICIAL NEURAL NETWORKS 9 Concept of Articial Neural Networks and its basic mathematical model, McCulloch-Pitts neuron model, simple perceptron, Adaline and Madaline, Feed-forward Multilayer Perceptron - Learning and Training the neural network - Data Processing: Scaling, Fourier transformation, principalcomponent analysis and wavelet transformations - Hopeld network, Self-organizing network and Recurrent network - Neural Network based controller. UNIT III GENETIC ALGORITHM 9 Basic concepts of Genetic algorithm and detail algorithmic steps, adjustment of free parameters - Solution of typical control problems using genetic algorithm - Concepts of some other search techniques like tabu search and ant-colony search techniques for solving optimization problems. UNIT IV FUZZY LOGIC SYSTEM 9 Introduction to crisp sets and fuzzy sets, basic fuzzy set operation and approximate reasoning - Introduction to fuzzy logic modelling and control - Fuzzication, inferencing and defuzzication - Fuzzy knowledge and rule bases - Fuzzy modelling and control schemes for nonlinear systems - Self-organizing fuzzy logic control - Fuzzy logic control for nonlinear time-delay system. UNIT V APPLICATIONS 9 GA application to power system optimization problem, Case studies: Identication and control of linear and nonlinear dynamic systems using Matlab-Neural Network toolbox - Stability analysis ofM.E. Process Control & Instrumentation Engg.

25

Neural-Network interconnection systems - Implementation of fuzzy logic controller using Matlab fuzzy-logic toolbox - Stability analysis of fuzzy control systems. L = 45 T = 15 T = 60

REFERENCES : 1. Jacek.M.Zurada, "Introduction to Articial Neural Systems", Jaico Publishing House, 1999. 2. Kosko,B. "Neural Networks And Fuzzy Systems", Prentice-Hall of India Pvt. Ltd.,1994. 3. Klir G.J. & Folger T.A. "Fuzzy sets, uncertainty and Information", Prentice-Hall of India Pvt Ltd., 1993 4. Zimmerman H.J. "Fuzzy set theory and its Applications"-Kluwer Academic Publishers, 1994. 5. D. Driankov, H. Hellendoorn, M. Reinfrank, "Introduction to Fuzzy Control", Narosa Publishers, 2001.

EI 1611

ADVANCED TOPICS IN PROCESS INSTRUMENTATION SYSTEMS L T P C 3 1 0 4

OBJECTIVE : To equip students with various advanced topics in LASER, Fiber optics and Virtual Instrumentation UNIT I FIBER OPTIC INSTRUMENTATION 9 Fiber optic sensors - ber optic instrumentation system -Different types of modulators detectors - Interferometer method of measurement of length - Moire Fringes - measurement of pressure, temperature, current, voltage, liquid level and strain - ber optic Gyroscope- polarization maintaining. UNIT II LASER INSTRUMENTATION 9 Laser for measurement of distance, length, velocity, acceleration, current, voltage, atmospheric effect - material processing - laser heating, welding, melting and trimming of materials - removal and vaporization. UNIT III MICROPROCESSOR BASED INSTRUMENTATION 9 Hardware and rmware components of a microprocessor system - micro controllers - multiple processors - An example application of a microprocessor system -calibration and correction human interface - computer interface - software characteristics of the computer interface - numerical issues - Embedded programming issues. UNIT IV SMART INSTRUMENTS 9 Smart/intelligent transducer-comparison with conventional transducers-self diagnosis and remote Calibration features-Smart transmitter with HART communicator-Measurement of strain, ow, and pH with smart transmitters. UNIT V VIRTUAL INSTRUMENTATION 9 Block diagram and architecture of the virtual instrumentation - VIs and sub VIs, loops and charts,26M.E. Process Control & Instrumentation Engg.

arrays, clusters and graphs, case and sequence structures, formula nodes, local and global variables, string and le I/O. L = 45 T = 15 Total = 60 REFERENCES : 1. Paul . W. Chapman, Smart Sensors, ISA Publications,1996. 2. John F Ready, Industrial Applications of Lasers, Academic press,1997. 3. Jasprit Singh, Semiconductor Optoelectronics, McGraw Hill, 1995. 4. Clyde.F, jr.Coombs, Electronic instrument handbook , McGraw Hill, 1992. 5. Jeffrey Travels, Jim Kring, Labview for every one, Prentice Hall, 2006. 6. Leonard Sokoloff, Basic concepts of Labview 4, Prentice Hall 1998 .

EI 1612 INSTRUMENTATION IN PETROCHEMICAL INDUSTRIES L T P C 3 1 0 4 OBJECTIVE : To provide basic knowledge of instrumentation in petrochemical industries. UNIT I PETROLEUM PROCESSING 9 Petroleum exploration Recovery techniques Oil Gas separation - Processing wet gases Rening of crude oil. UNIT II OPERATIONS IN PETROLEUM INDUSTRY 9 Thermal cracking Catalytic cracking Catalytic reforming Polymerisation Alkylation Isomerization Production of ethylene, acetylene and propylene from petroleum. UNIT III CHEMICALS FROM PETROLEUM PRODUCTS 9 Chemicals from petroleum Methane derivatives Acetylene derivatives Ethylene derivatives Propylene derivatives Other products. UNIT IV MEASUREMENTS IN PETROCHEMICAL INDUSTRY 9 Parameters to be measured in renery and petrochemical industry Selection and maintenance of measuring instruments Intrinsic safety of Instruments. UNIT V CONTROL LOOPS IN PETROCHEMICAL INDUSTRY 9 Process control in renery and petrochemical industry Control of distillation column Control of catalytic crackers and pyrolysis unit Automatic control of polyethylene production Control of vinyl chloride and PVC production. L = 45 T=15 Total = 60 TEXT BOOKS : 1. A.L. Waddams, Chemicals from Petroleum, Butter and Janner Ltd., 1968. 2. J.G. Balchan., K.I. Mumme, Process Control Structures and Applications, Van Nostrand Reinhold Company, New York, 1988.

M.E. Process Control & Instrumentation Engg.

27

REFERENCES : 1. Austin G.T., Shreves Chemical Process Industries, McGraw Hill , Singapore, 1998. 2. B.G Liptak, Instrument Engineers Handbook : Process measurement and Analysis, Chilton Book Company, 2003.

EI 1613 INSTRUMENTATION & CONTROL IN AUTOMOTIVE INDUSTRIES L T P C 3 1 0 4 OBJECTIVE : To provide basic knowledge in Instrumentation & control in Automotive Industries. To provide knowledge in communication protocols and Automation in Manufacturing Industries. UNIT I MEASUREMENTS IN AUTOMOTIVE 1. Pressure 2. Level 3. Temperature 4. Density 5. Viscosity 6. Torque 7. Vibration 8. Luminosity UNIT II INSTRUMENTATION APPLICATION IN VEHICLES Analysis of Fuel and Emitted particles CO2, NoX, Hydro carbons 9

9

UNIT III EMBEDDED APPLICATION IN MV 9 Microprocessor based front panel Indicators, Ignition Systems Engine Controls RTOS applications. UNIT IV COMMUNICATION PROTOCOLS Serial, CAN bus GPS tracking Systems. 9

UNIT V AUTOMATION IN MANUFACTURING INDUSTRY 9 Assembly line applications, PLC and DCS implementation Robotic Controls. L = 45 T = 15 Total = 60 REFERENCE BOOK : 1. B.G Liptak, Instrument Engineers Handbook : Process measurement and Analysis, Chilton Book Company, 2003.

28

M.E. Process Control & Instrumentation Engg.

EI 1614 ADVANCED PROCESS INSTRUMENTATION L T P C 3 1 0 4 OBJECTIVE : To acquaint students with skills in Modelling Process Instrumentation To educate students with various concepts in model based Control. UNIT I INTRODUCTION 9 Review of basics of Process Control - Control objective and benets - Control system elements Mathematical Modelling and dynamic performance analysis process for control: Basic Concepts in Modelling - Models from fundamental laws - Empirical model identication - Dynamic performance and analysis of rst order, second order, multi-capacity processes - Effect of Zeros and time delay. UNIT II MULTIVARIABLE PROCESS CONTROL 9 Multivariable Process control: Cascade control - Ratio control - Feed-back - Feed-forward control - Override control - Selective control - Modeling of multivariable process - Design of Multivariable controllers. UNIT III MODEL BASED CONTROL 9 Model Based control: Feedback - Feed-forward - Delay compensation - Internal Model controller (IMC): Concept - IMC design Procedure. UNIT IV MODEL PREDICTIVE CONTROL 9 MPC: General Principles - Model forms - DMC - SISO unconstrained DMC Problem - controller tuning. UNIT V CASE STUDY Statistical Process Control (SPC): Concept, Design procedure. Case study: Design of Fuzzy-Logic based controller. Case study: Design of Neural Network based controller. 9

L = 45 T = 15 Total = 60 REFERENCE BOOKS: 1. Thomas E. Marlin Process Control, McGraw-Hill International Edition, 2000. 2. Jose A. Romagnoli, Ahmet Palazoglu, Introduction to process Control CRC Press, 2005. 3. John. S. Oakland, Statistical Process Control, Butterworth Heinemann, 2007. 4. B.G Liptak, Instrument Engineers Handbook : Process Control and Optimization, Chilton Book Company, 2005. 5. Les A. Kane, Advanced Process Control Systems and Information systems for Process Industries , Gulf Professional Pub., 2000.

M.E. Process Control & Instrumentation Engg.

29

EI 1615 INDUSTRIAL AUTOMATION L T P C 3 1 0 4 OBJECTIVE: To provide knowledge in various Automation methodologies used in process industries UNIT I INTRODUCTION Introduction to automation tools PLC - DCS - SCADA - Hybrid DCS/PLC. 9

UNIT II AUTOMATION SPECIFICATIONS 9 DCS Project: Development of User Requirement Specications - Functional Design Specications for automation tool - GAMP - FDA. UNIT III PROGRAMMABLE LOGIC CONTROLLERS 9 Introduction of Advanced PLC programming - Selection of processor - Input/output modules - Interfacing of Input/output devices - Operator Interface - OPC - Study of SCADA software Interfacing of PLC with SCADA software. UNIT IV DISTRIBUTED CONTROL SYSTEM 9 Introduction to architecture of different makes - DCS Specications - Conguration of DCS blocks for different applications - Interfacing of protocol based sensors, actuators and PLC systems - Plant wide database management - Security and user access management - MES - ERP Interface. UNIT V CASE STUDY 9 Study of Advance Process control blocks: Statistical Process Control - Model Predictive Control - Fuzzy Logic Based Control - Neural-Network Based Control - Higher Level Operations: Control & Instrumentation for process optimization - Applications of the above techniques to the standard units/processes. L = 45 T = 15 Total = 60 REFERENCES : 1. Gary Dunning, Introduction to Programmable logic Controllers, Thomson / Delmar Learning, 2005. 2. Webb, Reis, Programmable logic Controllers: principles and applications, Prentice Hall of India, 2002. 3. Jose A. Romagnoli, Ahmet Palazoglu, Introduction to process Control CRC Tylor and Francisgroup, 2005. 4. John. S. Oakland, Statistical Process Control, Butterworth Heinemann, 2007. 5. B.G Liptak, Instrument Engineers Handbook : Process Control and Optimization, Chilton Book Company, 2005 6. Installation and user manuals of different DCS, PLC Vendors

30

M.E. Process Control & Instrumentation Engg.

EI 1616

ARTIFICIAL INTELLIGENCE L T P C 3 1 0 4

OBJECTIVE : To introduce advanced theory and practical techniques in Articial Intelligence. To introduce Expert systems. UNIT I INTRODUCTION 9 Introduction to AI: Intelligent agents Perception Natural language processing Problem Solving agents Searching for solutions: Uniformed search strategies Informed search strategies. UNIT II KNOWLEDGE AND REASONING 9 Adversarial search Optimal and imperfect decisions Alpha, Beta pruning Logical agents: Propositional logic First order logic Syntax and semantics Using rst order logic Inference in rst order logic. UNIT III UNCERTAIN KNOWLEDGE AND REASONING 8 Uncertainty Acting under uncertainty Basic probability notation Axioms of probability Bayes rule Probabilistic reasoning Making simple decisions. UNIT IV PLANNING AND LEARNING 9 Planning: Planning problem Partial order planning Planning and acting in non-deterministic domains Learning: Learning decision trees Knowledge in learning Neural networks Reinforcement learning Passive and active. UNIT V EXPERT SYSTEMS 10 Denition Features of an expert system Organization Characteristics Prospector Knowledge Representation in expert systems Expert system tools MYCIN EMYCIN. L = 45 T = 15 Total = 60 TEXT BOOKS : 1. Stuart Russel and Peter Norvig, Articial Intelligence A Modern Approach, Second Edition, Pearson Education, 2003. 2. Donald A.Waterman, A Guide to Expert Systems, Pearson Education, 1995. REFERENCES : 1. George F.Luger, Articial Intelligence Structures and Strategies for Complex Problem Solving, Fourth Edition, Pearson Education, 2002. 2. Elain Rich and Kevin Knight, Articial Intelligence, Second Edition Tata McGraw Hill, 1995. 3. Janakiraman, K. Sarukesi, P.Gopalakrishnan, Foundations of Articial Intelligence and Expert Systems, Macmillan Series in Computer Science, 2005. 4. W. Patterson, Introduction to Articial Intelligence and Expert Systems, Prentice Hall of India, 2003.

M.E. Process Control & Instrumentation Engg.

31