University of Niš - Tempusprojects.tempus.ac.rs/attachments/project_resource/1357/2946... · fakultet u Nišu i WUS Austria, skripta, 2005. Number of classes of active education

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University of Niš

Faculty of Electronic Engineering

UNDERGRADUATE STUDY PROGRAMME (4 year, 8 semesters, 240 ECTS)

ELECTRICAL ENGINEERING AND COMPUTER SCIENCE

Module: Control Systems (automotive)

Course Title Semester L+E+OFE ECTS

1. YEAR

Fundamentals of Electrical Engineering I

1

3+3+0 6

Physics 2+2+0 6

Mathematics I 3+3+0 6

Introduction to Computer Science 2+2+0 6

Laboratory Practicum - Physics 1+0+1 3

Laboratory Practicum - Introduction to Computer Science 1+0+1 3

Fundamentals of Electrical Engineering II

2

3+2+0 6

Algorithms and Programming 3+2+0 6

Mathematics II 3+3+0 6

Electronic Components 2+2+0 6

Laboratory Practicum - Fundamentals of Electrical Engineering 1+0+1 2

Laboratory Practicum - Algorithms and Programming 1+0+1 2

Laboratory Practicum - Electronic Components 1+0+1 2

2. YEAR

Electrical Circuits

3

2+2+0 6

Fundumentals of Electronics 3+2+1 6

Metrology of Electrical Quantities 2+1+2 6

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Mathematics III 3+2+0 6

Fundamentals of Object-Oriented Programming 2+2+1 6

Digital Electronics

4

2+2+1 6

Organization of Computer Systems 2+2+1 6

Modelling and Simulation of Dynamical Systems 2+1+1 6

Linear Control Systems 2+2+1 7

Elective Block 1

Mathematical Methods

Mathematical Basics of System Theory

2+2+0

2+2+0

5

3. YEAR

English Language I

5

2+0+0 3

Electronic Measurements 2+1+1 6

Process Control 2+2+0 5

Elective Block 2

Automatic Control Systems

Digital Control Systems

2+2+1

2+2+1

6

Elective Block 3

Mechatronics

System Identification

2+2+1

2+2+1

5

Elective Block 4

Web Programming

Electromechanical Conversion of Energy

Renewable Energy

RF Electronics

Medical Electronics

Telecomunications

Electromagnetics - Selected Chapter

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

5

English Language II 6 2+0+0 3

USP_Modelling_And_Simulation_of_Dynamical_Systems.xls

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Programmable Logic Controllers 2+1+1 6

Microcontrollers and Programming 2+2+1 6

Elective Block 5

Optimal Control

Modern Control of Industrial Processes

2+2+0

2+2+1

6

Elective Block 6

Software for Simulation of Dynamical Systems

Databases

Sensors and Actuators

Measurements in medicine

Fundamentals of Power Electronics

Digital Signal Processing

Conversion Techniques

Theory of Information and Applications

Cable and Optical Communication Systems

2+2+1

2+2+1

2+1+2

2+1+1

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

6

Professional Practice/ Team Project 3

4. YEAR

Dynamics of Mechanisms and Machines

7

2+2+0 5

Control Systems Design 2+2+1 6

Nonlinear Control Systems 2+2+0 5

Measurement of Non-Electrical Quantities 2+2+1 5

Elective Block 7

Servosystems

Software Development and Design

Electrical Power Converters

Power Supply Voltage Sources

Solar Components and Systems

Automotive Electronics

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

2+2+1

6

USP_Progammable_Logic_Contollers.xls

USP_Software_For_The_Simulation_Of_Dynamical_Systems.xls

USP_Measurement_Of_Non-Electrical_Quantities.xls

USP_Automotive_%20Electronics.xls

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Electrical Drives 2+2+1

Elective Block 8

Business Communication

Engineering Education and Sustainable Development

2+0+0

2+0+0

3

Introduction to Robotics

8

2+2+0 5

SCADA Systems 2+2+1 5

Computer Based Industrial Measurement Systems 2+2+1 6

Elective Block 9

Control Systems in Automotive Industry

Microcomputer Systems

Introduction to Information Systems

Measurements in Ecology

Electronic measurement instrumentation

Measuring of Electrical Energy Quality

Termovision

Data acquisition systems

Modulation Techniques

Wireless Communication Systems

Discrete Mathematics

Еngineering Еthics

2+2+0

2+3+0

2+2+1

2+2+0

2+1+1

2+1+1

2+2+1

2+2+1

2+2+1

2+2+1

2+2+0

2+0+0

6

Bachelor Thesis 8

USP_SCADA_Systems.xls

USP_Computer_Based_Industrial_Measurement_Systems.xls

USP_Control_Systems_In_Automotive_Industry.xls

6 Subject status (obligatory/elective) electiveCondition

The aim of the subject

The outcome of the subject

Theoretical teaching

Practice teaching (exercises, OFE, study-research work)

12345

Lectures Practice OFE Study-research work Other classes

2 2 1

Teaching methods

points Final exam points

10 written exam 2015 oral exam 202015

Goran S. Nikolic

Pre-exam dutiesKnowledge mark (maximum number of points 100)

Number of ECTS

Knowledge of electrical and electronic devices in the car. Application and analysis of data of the diagnostic devices

Basic methods of measurement for automotive engines. Measurement of torque. Temperature measurement. Pressure measurement. Measurement of air flow. Electronic ignition. Diagnostic devices. Analysis of diagnostic protocols. PC connectivity.

Introduction to the general structure of the car and the electrical system in the car and the engine control principles. Introduction to modern methods of diagnostics of the vehicle.

The content of the subjectAutomotive fundamentals: engine, drive train, suspension, steering brakes instrumentation. Electronic engine control: exhaust emission, fuel economy, engine performance terms, engine mapping, control strategy, electronic ignition. Sensors: air flow rate sensor, angular position sensor, engine speed sensor, timing sensor, throttle angle sensor, temperature sensors, exhaust gas oxygen sensor, and knock sensors. Actuators: fuel infection, exhaust gas recirculation actuator. The computer ECM: adaptive operation strategy, vehicle network systems. Diagnostic techniques: DTC, OBD. Design example: Development and using OBD diagnostic tools.

Specification for the book of subjects

Auditory teaching using computers and projectors. Basic examples of simulation systems. Practically showing implemented embedded systems operating in real time. Lectures, exercises, labs, homework, colloquia, seminars and consultations.

LiteratureLectures in the form of scripts available in electronic form on the website of the Faculty,

Number of classes of active education per week during semester/trimester/year

"Understanding Automotive Electronics", William RibbensPowerPoint presentations for all lectures, http://es.elfak.ni.ac.rs

Electrical Engineering and Computer Science

Branislav D. PetrovicLecturer (for lectures)Lecturer/associate (for practice)Lecturer/associate (for OFE)

activity during lecturespractice educationcolloquiaseminars

Goran S. Nikolic

Control SystemsUndergraduate academic studiesAutomotive Electronics

Study programChosen area (module)Type and level of studiesThe name of the subject

6 Subject status (obligatory/elective) obligatoryCondition

The aim of the subject

The outcome of the subject


Practice teaching (exercises, OFE, study-research work)

1

2

34

Lectures Practice OFE Study-research work Other classes

2 2 1 0 0

Teaching methods



Undergraduate academic studiesComputer Based Industrial Measurement Systems

Study programChosen area (module)Type and level of studiesThe name of the subject

Denić B. DraganLecturer (for lectures)Lecturer/associate (for practice)Lecturer/associate (for OFE)

activity during lecturespractice educationcolloquiaseminars

Miljković S. Goran, Jocić V. Aleksandar

Specification for the book of subjects

Theoretical teaching is performed with modern presentation devices and with using of free scrypt material. Practical training is performed in computer equipped laboratory.

LiteratureD. Denić, I. Ranđelović, D. Živanović, „Računarski merno-informacioni sistemi u industriji“, Elektronski fakultet u Nišu i WUS Austria, skripta, 2005.

Number of classes of active education per week during semester/trimester/year

D. Živanović, D. Denić, G. Miljković, „Računarski merno-informacioni sistemi u industriji - praktikum za laboratorijske vežbe“, Elektronski fakultet u Nišu, 2011.

W. Nawrocki, „Measurement systems and sensors“, Artech House, 2005.

V. Drndarević, „Akvizicija mernih podataka pomoću personalnog računara“, Institut za nuklearne nauke „Vinča“, Beograd, 1999.

Electrical Egineering and Computer ScienceControl Systems

Miljković S. Goran, Jocić V. Aleksandar, Stojković S. Ivana

Pre-exam dutiesKnowledge mark (maximum number of points 100)

Number of ECTS

The student will be trained to realize and apply electronic circuits for measurement signal processing and sensors connection to the computer. Based on learning of programming language LabVIEW basics, the students will be trained to connect sensors using modern interface circuits and to realise some simpler examples of virtual instruments. The students will be capable to define basic characteristics and to work with modern industrial computer based measurement systems.

Introduction with programming language LabVIEW basics. Realisation of laboratory excersises in form of concrete virtual instruments realisation for measurement of temperature, impedance parameters, AD converters characteristics.

The goal of the course is introduction with modern industrial computer based systems. Also, covering of needed knowledge about connection methods of classical and intelligent sensors with computer, and the realisation of virtual instruments and possibility of connection of such measurement systems to the Internet.

The content of the subjectIntroduction to computer based measurement systems; basic block diagrams of one- and multi-channel measurement systems; measurements signals multiplexing; transducers and sensors in modern industrial measurement systems; development trends of sensors; integrated and smart sensors; intelligent measurement modules; measurement signal and data transmission; signal conditioning circuits; two-wire transmitters; methods and systems for signal-to-noise ratio improvement; standard communication interfaces; explosion-proof instruments; grounding and shielding in automotive measurement systems, distributed measurement systems and connection to the Internet; automotive applications of telemetry systems; virtual instrumentation and LabVIEW software; industrial telemetry systems; display, recording and presentation of measurement data.

6 Course status (obligatory/elective) electivePrerequisites

Course objectives

Course outcomes


Practical teaching (exercises, OFE, study and research work)

1

2

345

Lectures Exercises OFE Study and research work Other classes

2 2 0

Teaching methods



Pre-exam dutiesGrade (maximum number of points 100)

Number of ECTS

Upon completion of this course students will be able to formulate and solve control engineering tasks related to the most representative automotive systems using the Control Theory methodology.

Linear Vehicle Model. Nonlinear Vehicle Model. Design of model for ABS, ESP. Design of advanced control methods for automotive control systems. Simulation in Matlab and Simulink packages. Real-time experiments.

The aim of the course is to familiarise students with the control issues of the automotive subsystems that influence the general behaviour of the whole vehicle. The course will cover control system design and numerical simulation of automotive subsystems such as brake system, ride & handling systems, and power-train. The course concludes with students experimental researches on laboratory equipment.

Course outline

Introduction to vehicle control and basis of systems control engineering. Applications of dynamics control systems. Assistance systems in commercial vehicles. Development of control systems for automotive applications. Power steering (EPS, EHPS). Integrated vehicle (body) control. Suspension control. Introduction to traction and brake control (ESP, ESC, DSC, ABS). Advanced control algorithms (fuzzy, neural network, sliding mode) designed and applied in automotive applications.

Specification for the book of courses

Lectures; Auditory Exercises; Consultations

Textbooks/referencesA. Galip Ulsoy, Huei Peng, Melih Çakmakci, "Automotive Control Systems", ISBN-13: 978-1-107-01011-6, April 30, 2012.

Number of courses of active education per week during semester/trimester/year

Jazar, Reza N., "Vehicle Dynamics: Theory and Application", ISBN 978-0-387-74244-1, 2009.


Antić S. Dragan, Mitić B. DarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquia

Perić Lj. Staniša

Control SystemsUndergraduate academic studiesControl Systems in Automotive Industry

Study programModuleType and level of studiesThe name of the course

10projects

5 Course status (obligatory/elective) obligatoryPrerequisites

Course objectives

Course outcomes



12345


2 2 1 0 0

Teaching methods



Pešić T. Miroljub, Lukić R. Jelena


Number of ECTS

Theoretical knowledge; Mastering the utilization of the appropriate electronic circuits and measurement methods.

Mastering the basic knowledge necessary for the measurement of the non-electrical quantites by the electric means.

Course outline

The basic measurement methods, the static and the dynamic characteristics. The measurement of the linear and the angular movements. The measurement of acceleration and vibrations. The measurement of force and torque. The measurement of pressure, level and flow. The measurement of temperature by the contact and the contactless methods. The measurement of humidity and pH value. Testing and calibration of sensors and measurement transducers used in the automotive industry.


Teaching; Auditory exercises; Laboratory exercises; Consultations.

Textbooks/referencesDragan Stanković, ''Fizičko tehnička merenja'', Naučna knjiga, Beograd, 1987.


John Webster, „The Measurement, Instrumentation and Sensors Handbook“, CRC Press, 1999.


Radenković N. DraganLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquiaprojects

Pešić T. Miroljub, Jocić V. Aleksandar, Đorđević-Kozarov Jelena

Control SystemsUndergraduate academic studiesMeasurement of Non-electrical Quantities



Course objectives

Course outcomes



1

2

345


2 1 1

Teaching methods



Danković B. Nikola, Spasić D. Miodrag, Milovanović B. Miroslav


Number of ECTS

At the end of the course students will gain knowledge on the methods for the modeling of different dynamical systems from technique and life and their computer simulation.

Introduction to the Matlab software environment. Introduction to the Simulink. Models in the form of differential equations, state space models, the models given by their input-output equation, transfer function models. Modeling and simulation of mechanical systems. Modeling and simulation of electrical systems. Modeling and simulation of electro-mechanical systems. Modeling and simulation of the systems in automotive industry. Modeling and simulation of thermal systems. Modeling and simulation of hydraulic systems.

Modeling and simulation of dynamical systems are unavoidable in todays life and all areas of technology and modern industry. The goal of this course is gaining knowledge on the modeling of dynamical systems, computer simulation of dynamical systems and modeling and simulation of various dynamical systems from technique and life.

Course outline

Definition of the models of dynamical systems. The classification of the models. Principles of mathematical modeling. Types of mathematical models. Examples of mathematical models. Obtaining mathematical models of mechanical, hydraulic, thermal, chemical and industrial processes. Mathematical modeling of the disturbances. Modeling of industrial systems. Modeling in automotive industry. Graphical modeling. Bond graphs and their applications. Validation and verification of the model. Simulation methods. Designing simulation models. Simulation tools. Mathematical foundation of the digital simulation. Simulation of the systems with distributed parameters. Simulation of the systems with discontinuities. Errors in the simulation and methods for overcoming them. The application of the simulation in the identification, designing and optimization of control systems. Simulation in real time. Simulation of complex systems.


Lectures; Laboratory Exercises; Computer Exercises; Consultations

Textbooks/referencesD. Antić, B Danković, "Modelling and simulation of dynamical systems", Faculty of Electronic Engineering, Niš, 2001. (in Serbian)


D. Antić, B Danković, "Practical handbook on modelling and simulation of dynamical systems", Faculty of Electronic Engineering, Niš, 2006. (in Serbian)


Antić S. Dragan, Milojković T. Marko Lecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercises

Milojković T. Marko

Control SystemsUndergraduate academic studiesModelling and Simulation of Dynamical Systems


30colloquiaprojects


Course objectives

Course outcomes



12345


2 1 1

Teaching methods



Nikolić S. Saša, Milovanović B. Miroslav


Number of ECTS

Theoretical and practical knowledge of PLC systems. Design of control systems based on PLC.

Getting familiar with the structure of the PLC; PLC programming methods; Introduction to the work and applications of the PLC-Siemens and development software Step7; Working with PLC and development software Omron CX One; PLC applied to dosing system; PLC applied to transport system; PLC applied to the water supply system; PLC applied to control of the thermal process.

Acquiring basic knowledge of the structure, mode, programming and practical application of the PLC systems in the industry.

Course outline

Introduction to the programmable logic controllers (PLC). Input-output devices. Processing of input-output signals. Programming of programmable logic controllers. Ladder diagrams. Logical functions. Examples. Components of PLC. Internal relays. Timers. Counters. Shift registers. Data processing. Stages in the development of programs for the PLC. Testing and debugging. The application of up-to-date PLC systems from different manufacturers (Siemens, Omron, Mitsubishi, Allen Bradley, Schnieder Electric). Example of PLC application in the control of assembly line in automotive industry.



Textbooks/referencesD. Collins, E. Lane, “Programmable Controllers: A Practical Guide”, McGraw-Hill, 1995.


W. Bolton, “Programmable Logic Controllers”, Newnes, 2003.


Jovanović D. ZoranLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Nikolić S. Saša

Control SystemsUndergraduate academic studiesProgrammable Logic Controllers



Course objectives

Course outcomes



12345


2 2 1

Teaching methods



Spasic D. Miodrag


Number of ECTS

Knowledge of the implementation of SCADA systems and solving practical problems in industry and distributed systems within control and supervisory area.

Software instaltaion and activation - CitectSCADA. Concept of the project (user levels, project compiling and runing, project informations,...). Concept of the Page-CitectSCADA. Concept of the tag. Objects. Creating and editting of graphical and control objects (Free Hand Line, Straight Line, Rectangle, Elipse, Polygon, Pipe, Text, Number, Button, Symbol Set, Trend i Cicode). Editting of graphical objects (Appearance, Movement, Scaling, Fill, Input, Slider, Access, Display Value, Visibility) Alarm types. Alarm subtypes. Alarm tag definition. Animation of project elements. Concept of claster. Claster data definition. Concept of the Server. Server data definition. User data definition. Cicode editor. Cicode functions. Cicode scripts. Paterns. Patern customisation. Examples. Project.

The course provides theoretic and practice foundation and skills in design and implementation of SCADA systems and their use in control of industrial processes.

Course outline

Introduction to SCADA systems. Definition and elements of SCADA systems. Historical development of SCADA systems. Real-time operating systems. Remote control systems. Communication within SCADA systems. Telemetry within SCADA systems. Control with SCADA systems. Sensors, actuators and communication. SCADA systems in automotive industry. SCADA user interface. Profitability of SCADA systems. Implementation of SCADA systems. SCADA systems applications. Examples.



Textbooks/referencesS. Boyer, “SCADA (Supervisory Control and Data Aquisition), ISA 1999



Jovanovic D. Zoran, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)


Spasic D. Miodrag

Control SystemsUndergraduate academic studiesSCADA Systems


6 Course status (obligatory/elective) ElectivePrerequisites

Course objectives

Course outcomes



1

2

3

45


2 2 1

Teaching methods


10 written examoral exam 40

30

Control SystemsUndergraduate academic studiesSoftware for Simulation of Dynamical Systems


Antić S. Dragan, Milojković T. MarkoLecturer (for lectures)Lecturer/associate (for exercises)Lecturer/associate (for OFE)

activity during lecturesexercisescolloquia

Danković B. Nikola


Lectures, Auditory Exercises, Laboratory Exercises, Computer Exercises, Consultations.

Textbooks/referencesD. Antić, B Danković, "Modelling and simulation of dynamical systems", Faculty of Electronic Engineering, Niš, 2001. (in Serbian)


Dymola user manual, “Dymola Multi-Engineering Modeling and Simulation”, Dynasim, 2004.S. Annigeri, “An Introduction to Scilab”, 2009.

R. Bitter, T. Mohiuddin, M. Nawrocki, “LabView Advanced Programming Techniques”, CRC Press, 2007.

D. Antić, "Practical handbook on modelling and simulation of dynamical systems", Faculty of Electronic Engineering Niš, 2006. (in Serbian)


Danković B. Nikola


Number of ECTS

Knowledge of the modelling methodology of various dynamical systems and computer simulation using different software packages (LabView, Matlab/Simulink, Dymola, Scilab).

Introduction to the software environments of LabView, Matlab/Simulink, Dymola, SciLab. Simple applications design. Dataflow programming. Controls and indicators settings. Subsystems and extension of existing models. Data exchange between two or more loops and programs. Local and global variables. Modelling and simulation of different types of dynamical systems (mechanical, electrical, thermal, hydraulic) in different software environments. Modelling and simulation of the systems in automotive industry using different software packages. Design of complete applications.

Introduction to the basics of computer simulation techniques using various software solutions. Teaching students to simulate real dynamical systems.

Course outline

The development and history of simulation software. The simulation software oriented to the models in the form of equations. Simulation tools oriented to the block diagrams. User interface of the simulation environment. Linear continuous systems and simulation. Discrete systems and simulation. Nonlinear systems and simulation. Systems with stochastic parameters. Monte Carlo simulation. Artificial intelligence and simulation. Simulation software for bond graph models. The application of knowledge-based systems in modeling and simulation. Qualitative modeling and simulation. Errors in the simulation and methods for overcoming them. Specialized software for simulating certain classes of systems. Modeling and simulation in practice.

20projects

Documents

University of Niš - Tempusprojects.tempus.ac.rs/attachments/project_resource/1357/2946... · fakultet u Nišu i WUS Austria, skripta, 2005. Number of classes of active education