Lecturer(s)
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Hubka Lukáš, Ing. Ph.D.
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Tůma Libor, doc. Ing. CSc.
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Školník Petr, Ing. Ph.D.
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Course content
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Lectures: 1. Introduction to control theory and praxis. The dynamic system, input and output variables, disturbances. The transfer function. 2. Model-based design (1st principle models) and their utilization for linear control theory. Methods to construct a dynamic system simulation scheme. 3. The Laplace transformation as a tool for solving differential equations. 4. The 1st and 2nd order system dynamic and main parameters. Transient and dynamic characteristics. 5. The linear system stability and criteria. 6. The identification process, empirical methods for identification. 7. The frequency characteristic of dynamical systems (Nyquist, Bode diagrams). 8. Block algebra, Mason rule, signal equations. 9. Introduction to feedback control synthesis. Two a three-state relay control. PID controller in the feedback. 10. Stability area for parameters of the PID in the closed loop. 11. Empirical and experimental methods for the PID controller tuning. 12. Enhanced feedback structures for technological process control. 13. The discrete version of the PID controller. Practices: - Programming in Matlab. - Programming in Simulink. - The system's differential equation as a result of model-based design. Simulations. - Time response of the system with help of Laplace transformation. - The closed-loop stability. - Transient and dynamic characteristics of a real process - measurement in the lab. - Frequency characteristic construction. - Scheme simplifications - block algebra, Mason rule, signal equations. - The relay in feedback. - The PID controller in feedback - tuning, and properties.
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Learning activities and teaching methods
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Lecture, Practicum
- Class attendance
- 56 hours per semester
- Home preparation for classes
- 34 hours per semester
- Preparation for credit
- 20 hours per semester
- Preparation for exam
- 40 hours per semester
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Learning outcomes
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The subject focuses on the analysis, the simulation, and the synthesis of linear time-invariant dynamic systems. The student is able to describe the dynamic system and realize a simple identification process. Finally, the student knows the basics of control theory and selected parts from extended parts, too.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Combined examination
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Recommended literature
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DISTEFANO, J. J., STUBBERUD, A. R., WILLIAMS, I. J. Feedback and Control Systems. McGraw-Hill Companies, 2012. ISBN 978-0-07-163512-7.
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Dušek, F. a D. Honc. Matlab a Simulink: úvod do používání. Pardubice: Univerzita Pardubice, 2005. ISBN 80-7194-776-8.
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Fenclová, M. - Pech, Z. - Suková, M. Teorie automatického řízení. [Skriptum].. Praha, ČVUT, 1998. ISBN 80-01-01039-2.
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HOFREITER, M. Základy automatického řízení (skriptum). ČVUT Praha, 2014. ISBN 978-80-01-05007-1.
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Kozák, Š. - Kajan, S. Matlab-Simulink 1. Bratislava, STU 1999.
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Nise, N.S. Control Systems Engineering.. NY, John Wiley & Sons, Inc., 2000. ISBN 0-471-36601-3.
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Olehla M., S. Němeček. Základy aplikované kybernetiky. TU v Liberci, 2006. ISBN 80-7372-100-7.
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