|
|
|
||
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: Hanta Vladimír (28.05.2012)
|
|
||
Students will be able to:
Last update: SOUSKOVH (01.02.2018)
|
|
||
Assessment: Two individual projects
Exam: Written test I: 0-20 points
Written test II: 0-80 points
Last update: SOUSKOVH (01.02.2018)
|
|
||
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: SOUSKOVH (01.02.2018)
|
|
||
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: SOUSKOVH (06.08.2018)
|
|
||
http://moodle.vscht.cz/course/view.php?id=12
http://www.mathworks.com/products/control/
http://www.mathworks.com/matlabcentral/fileexchange/
Last update: SOUSKOVH (01.02.2018)
|
|
||
Algorithms and Programming, Mathematics I, Measuring and Control Engineering Last update: SOUSKOVH (01.02.2018)
|
Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1.5 | 42 | ||
Práce na individuálním projektu | 0.5 | 14 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
Účast na seminářích | 1.5 | 42 | ||
5 / 5 | 126 / 140 |