SubjectsSubjects(version: 955)
Course, academic year 2019/2020
  
Control Theory - AM445003
Title: Control Theory
Guaranteed by: Department of Computing and Control Engineering (445)
Faculty: Faculty of Chemical Engineering
Actual: from 2019 to 2020
Semester: winter
Points: winter s.:5
E-Credits: winter s.:5
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: unknown / unknown (unknown)
Min. number of students: unlimited
State of the course: taught
Language: English
Teaching methods: full-time
Teaching methods: full-time
Level:  
Guarantor: Soušková Hana Ing. Ph.D.
Interchangeability : M445003, N445017, S445017
Is interchangeable with: M445003
Examination dates   Schedule   
This subject contains the following additional online materials
Annotation
Control Theory course deals with basic principles and methods of feedback control of single-input single-output linear dynamic systems. Students are acquainted with mathematical basics of control theory, with methods of modelling and analysis of controlled and control systems, with important types of feedback controllers, with stability of control systems and with basic method of feedback control systems design in the time domain. All methods and procedures are used for solving of selected examples. For modelling, analysis and design of control systems and for solving of problems and projects is used Matlab system for computation and visualization.
Last update: Kubová Petra (23.01.2018)
Aim of the course

Students will be able to:

  • solve basic computational and visualization tasks in the area of automatic control system in the environment of Matlab and its Control System Toolbox
  • investigate properties of t-invariant linear dynamical systems and determine their stability
  • design controller parameters using empirical and integral methods, design state controller and discrete controller with a finite number of steps
  • validate theoretical conclusions by simulation and analysis of time resposes of the system and by their visualization
  • carry out synthesis of simple control loop and improve its dynamic performance using simulation experiments

Last update: Soušková Hana (01.02.2018)
Literature

R: Pao, C. Chau: Process Control: a First Course with MATLAB. Cambridge University Press, Cambridge, 2002, 0-521-00255-9.

R: Benjamin C. Kuo: Automatic Control Systems. Prentice-Hall, 1991, 0-13-051046-7.

R: Manke B.S.: Linear Control Systems.Khanna Publishers, 2009. 81-7409-107-6.

A: Franklin, G. F., Powell, J. D., Emami-Naeini, A.: Feedback Control of Dynamic Systems. Prentice-Hall, New Jersey, 2002, 0-13-098041-2.

Last update: Soušková Hana (01.02.2018)
Learning resources

http://moodle.vscht.cz/course/view.php?id=12

http://www.mathworks.com/products/control/

http://www.mathworks.com/matlabcentral/fileexchange/

Last update: Soušková Hana (01.02.2018)
Syllabus -

1. Dynamic systems description. Fundamentals of Laplace transform.

2. External description of dynamic t-invavariant systems.

3. Continuous-time system analysis. Time response analysis of dynamic systems.

4. Internal description of dynamic systems.

5. Stability analysis of dynamic systems.

6. Algebra of block diagrams. Transfer functions. Negative feedback. Cloosed-loop control system.

7. PID controllers, description and characteristics of basic types of controllers. Stability of control systems.

8. Quality of control performance, their criteria and comparison.

9. Empirical methods of control design.

10. Standard methods of control design. Optimal module and integral criteria.

11. Control design in state space. Controllability, observability.

12. Discrete-time systems description. Z-transform. Sampling.

13. Control design in discrete-time domain.

14. PSD controllers.

Last update: Soušková Hana (06.08.2018)
Registration requirements

Algorithms and Programming, Mathematics I, Measuring and Control Engineering

Last update: Soušková Hana (01.02.2018)
Course completion requirements

Assessment: Three individual projects

Exam: Written test I: 0-20 points

Written test II: 0-60 points

Oral exam: 0-20 points

Last update: Soušková Hana (01.02.2018)
Teaching methods
Activity Credits Hours
Účast na přednáškách 1.5 42
Práce na individuálním projektu 1 28
Příprava na zkoušku a její absolvování 1 28
Účast na seminářích 1.5 42
5 / 5 140 / 140
Coursework assessment
Form Significance
Report from individual projects 20
Examination test 80

 
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