Course detail

Control Theory

FSI-VVF-KAcad. year: 2010/2011

The course is focused on theory and applications of modern methods of control design. Control design methods of artificial intelligence and adaptive control are presented. The points of the interest HIL simulation and Real Time control. The applied computer science is presented in industrial nets area together with intelligent control. In the course the modern technologies of B&R automation and Mathworks companies are used.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Pavel Ošmera, CSc.

Department

Institute of Automation and Computer Science (ÚAI)

Learning outcomes of the course unit

...To prepare students for solving complicated tasks of automatic control.
...Analysis and design of modern feedback control systems. Students will obtain the basic knowledge of optimal control, adaptive control and fuzzy control.

Prerequisites

...Fundamental concepts of the methods used in the analysis and design of linear continuous feedback control systems. Essential principles of automatic control, logical control and PLC systems. The differential equations of control systems, transient response, frequency analysis, stability of systems. Fundamental concepts of the methods used in the analysis and design of nonlinear continuous feedback control systems and discrete control systems.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Teaching methods depend on the type of course unit as specified in the article 7 of BUT Rules for Studies and Examinations.

Assesment methods and criteria linked to learning outcomes

...In order to be awarded the course-unit credit students must prove 100% active participation in laboratory exercises and elaborate a paper on the presented themes. The exam is written and oral. In the written part a student compiles two main themes which were presented during the lectures and solves three examples. The oral part of the exam will contain discussion of tasks and possible supplementary questions.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

...Goals of the course: The basic aim of the course is to provide students with the knowledge
of optimal control, adaptive control and fuzzy control.

Specification of controlled education, way of implementation and compensation for absences

...Attendance and activity at the seminars are required. One absence can be compensated for by attending a seminar with another group in the same week, or by the elaboration of substitute tasks. Longer absence can be compensated for by the elaboration of compensatory tasks assigned by the tutor.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Levine, W.S. (1996) : The Control Handbook, CRC Press, Inc., Boca Raton, Florida 1996 , ISBN 0-8493-8570-9
Morris,K.: Introduction to Feedback Control, Academic Press, San Diego, California 2002, ISBN 0-12-507660-6
Vegte, V.D.J.: Feedback Control Systems, Prentice-Hall, New Jersey 1990, ISBN 0-13-313651-5

Recommended reading

Švarc,I.:: Automatizace-Automatické řízení, skriptum VUT FSI Brno, CERM 2002, ISBN 80-214-2087-1

Classification of course in study plans

  • Programme N2301-2 Master's

    branch M-AIŘ , 2 year of study, winter semester, compulsory
    branch M-AIŘ , 2 year of study, winter semester, compulsory

Type of course unit

 

Guided consultation

13 hod., optionally

Teacher / Lecturer

prof. Ing. Radomil Matoušek, Ph.D.
prof. Ing. Pavel Ošmera, CSc.

Syllabus

W1: Technology B&R automation
W2: Technology Matlab/Simulink/RTT
W3: Adaptive and optimal control 1/2
W4: Adaptive and optimal control 2/2
W5: Fuzzy control 1/2
W6: Fuzzy control 2/2
W7: ANN control 1/2
W8: ANN control 2/2
W9: Industrial nets
W10: Motion control - CANopen
W11: Motion control - Ethernet Powerlink
W12: Wireless nets in industrial applications
W13: Modern trends in automatic control


Laboratory exercise

4 hod., compulsory

Teacher / Lecturer

prof. Ing. Pavel Ošmera, CSc.
prof. Ing. Radomil Matoušek, Ph.D.

Syllabus

- Automation Studio 1/2, ST programming
- Automation Studio 2/2, C programming
- Realtime applications Matlab/Simulink/RTT and AS 1/2
- Optimal control
- Realtime applications Matlab/Simulink/RTT and AS 2/2
- Fuzzy control
- ANN control
+ Complex non-linear system control (session project)
+ Industrial communications (objects, packets, measuring)
+ Motion control (IclA, Maxon)
+ Motion control (ACOPOS)
+ Wireless control of mobile robots
+ Demo applications