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Structure of Aalborg University

Welcome toAalborg University

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Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

DepartmentsStudy

Programmes

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• Secretary and labs• Research• Teaching

Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

Institute of Elec-tronic Systems

StudyProgrammes

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• Project work• Course activities

• Secretary and labs• Research• Teaching

Structure of Aalborg University

University SenateRectorate

Faculty of Humanities

Faculty of Engi-neering and Sc.

Faculty of Social Science

Institute of Elec-tronic Systems

Computer Eng.Electronic and .

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Working tasks for VIP’s

Professor Associated Professor

Assistent Professor

Ph.D.

student

Research 40% 40% 45% 83%

Teaching 60% 60% 55% 17%

Teaching

In hours

497 h 497 h 456 h 140 h

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Study board for Electronics and Information Technology

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Controlling the studies

Study Regulations:

• General regulations

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

4.6. INTELLIGENT AUTONOMOUS SYSTEMS

Objectives and contents of the specialisation

The objectives of the specialisation in Intelligent Autonomous Systems are summarised as follows:

to provide students with knowledge in modelling of mechanical systems such as spacecraft, ships, and mobile robots, enable the student to apply modern methods of control to problems related to autonomous systems, to analyse methods of state observation, parameter estimation and sensor fusion in mechanical systems, to provide students with a comprehension of supervisory control, fault-tolerant control and fault detection, to let students analyse software architectures for autonomous systems.

The courses include necessary general theoretical topics within process control forautonomous systems but modules are also made available in scientific communication and proficiency in English language for those who need it.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme

SPRING Semester – Intelligent Autonomous SystemsTHEME: Modelling and ControlPERIOD: 1 February - 30 June PURPOSE: To give knowledge and comprehension of optimal and robust control theory. To give the students the ability to analyse modern control methods for multi input/multi output systems. To give students the ability to apply modelling methods and control synthesis for advanced mechanical systems.CONTENTS: The project is based on a problem of control and supervision of an autonomous system. The model of the mechanical system has to be derived. The vital part of the project is the choice of the set of actuators and sensors for onboard application. Different control strategies have to be investigated and compared. The supervisor system responsible for autonomy onboard has to be designed. The chosen solution has to be implemented on a real time platform and tested, either by the computer simulations or dedicated hardware.COURSES: Courses will be given in the field of modelling of mechanical systems, supervisory andfault tolerant control, and modern control theory. EXAM: The external oral examination is based on the prepared project documentation. Each student is marked according to the 13-scale.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects

Model based tracking for navigation

Background As part of an ongoing research project (with Computer Science AAU and The Danish Institute of Agricultural Sciences) an autonomous vehicle is developed which navigates autonomously in the field. The aim is to reduce the inputs to the field and monitor the growth of the individual plants, thereby providing obvious environmental and economic advantages over more traditional farming.

PurposeIt is important in such applications to both navigate accurately in the field but also to be able to identify individual plants. The aim in this project is to use perspective images captures from a camera mounted on the front of the vehicle to provide estimates of structure of the crop rows as well as position of the individual plants. The focus will not be on the image analysis but on sensor fusion with non-vision sensors mounted on the vehicle e.g. wheel encoders, differential GPS as well as integration of information about the known structure of the field.The aim is to use all available information on the autonomous vehicle in order to achieve the best possible estimates of the vehicle and individual plant position (in the order of cm).

MethodsThe project will include:•Modeling of vehicle system and plant pattern in the camera image •Prediction of the crop structure based on the system models as well as previous measurements (images anddata from sensors) •Estimation of vehicle position and orientation as well as plant position •Algorithms are simulated in the laboratory on simple setup. •If possible the algorithms are applied to data acquired in the field.

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects– Courses

Study related courses (SE):

Fault Detection and Automated SystemsModelling of Mechanical SystemsController StructuresModelling of Mechanical Systems IIEngineering Responsibilities

Project related courses (PE):

Robust ControlOptimal ControlSupervisory ControlNeural Networks and Fuzzy LogicProject Management and Team Building

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Controlling the studies

Study Regulations:

• General regulations

• Sector’s, lines or specialization’s– Objectives and content

• Specific semesters– Theme– Projects– Courses– Semester group

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Teaching task’s

Project

Project courses lectures seminar

Study courses and lectures

Examination

Examination

50% - 33%

50% - 67%

Lecturer/instructor

Lecturer/instructor

Supervisor: Advisor and facilitator

Examinor/censor

Examinor

Structure of a semester:

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Lunch until 12.45