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Lecturer(s)
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Course content
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Seminars: 1. Overview of basic sensors of physical quantities with a focus on the Laboratory of Real Processes. 2. Overview of basic actuators for the control of physical quantities with a focus on the Laboratory of Real Processes. 3. Equipment of control computers for real-time process control applications with a focus on the Real Process Laboratory. Laboratory exercise: 1. Acquainting students with models in the Laboratory of Real Processes. 2. Assignment of tasks to individual students (6 tasks). 3. Work on assigned tasks: getting acquainted with the system, measuring characteristics, design and verification of control, evaluation of results. 4. Evaluation of protocols and verification of results.
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Learning activities and teaching methods
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Observation, Simple experiments, Practice exercises
- Home preparation for classes
- 63 hours per semester
- Preparation for course credit
- 16 hours per semester
- Participation in classes
- 25 hours per semester
- Home preparation for classes
- 94 hours per semester
- Participation in classes
- 56 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge of automatic control theory, basic knowledge of MATLAB/Simulink system |
| Knowledge of automatic control theory, basic knowledge of MATLAB/Simulink system |
| learning outcomes |
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| describe differences between real plant and its computer model |
| describe differences between real plant and its computer model |
| explain differences between linear and non-linear model of a system |
| explain differences between linear and non-linear model of a system |
| describe properties of basic types of linear models |
| describe properties of basic types of linear models |
| explain pros and cons of given control algorithm from a point of view of its usage for real-time control |
| explain pros and cons of given control algorithm from a point of view of its usage for real-time control |
| describe criteria used to evaluate quality of a control process |
| describe criteria used to evaluate quality of a control process |
| Skills |
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| design a Simulink scheme that uses data acquisition and control interfaces |
| design a Simulink scheme that uses data acquisition and control interfaces |
| select appropriate model type for a given real plant |
| select appropriate model type for a given real plant |
| calculate parameters of a linear model of a plant on the basis of measured data |
| calculate parameters of a linear model of a plant on the basis of measured data |
| design control scheme for given real plant |
| design control scheme for given real plant |
| tune parameters of a controller to obtain optimal control courses |
| tune parameters of a controller to obtain optimal control courses |
| critically evaluate measured data |
| critically evaluate measured data |
| teaching methods |
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| Knowledge |
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| Practice exercises |
| Practice exercises |
| Simple experiments |
| Simple experiments |
| Observation |
| Observation |
| assessment methods |
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| Analysis of the student's performance |
| Analysis of the student's performance |
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Recommended literature
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ASTRÖM, K a B WITTENMARK. Computer-controlled systems: theory and design. Mineola, N.Y.: Dover Publications, 2011. ISBN 978-0-486-48613-0.
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Bobál, V. Adaptivní a prediktivní řízení. Univerzita Tomáše Bati ve Zlíně, Academia centrum, 2008. ISBN 978-80-7318-888-7.
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Bobál, V. et al. Digital self-tuning controllers: algorithms, implementation and applications. Springer-Verlag, London, 2005. ISBN 978-1-85233-980-7.
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Bobál, Vladimír. Identifikace systémů. Vyd. 1. Zlín : Univerzita Tomáše Bati ve Zlíně, 2009. ISBN 978-80-7318-888-7.
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BOLTON, W. Programmable Logic Controllers - fourth edition, Elsevier India Private Limited, Oxford, UK, 2006, ISBN 13: 978-0-7506-8112-4, ISBN 10: 0-7506-8112-8.
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Hanuš, Bořivoj. Číslicová regulace technologických procesů : algoritmy, matematicko-fyzikální analýza, identifikace, adaptace. 1. vyd. Brno : Vutium, 2000. ISBN 802141460X.
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NAVRÁTIL, P. Automatizace, vybrané statě. FAI,UTB ve Zlíně, 2011.
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O´DWYER, A. Handbook of PI and PID Contoller Tuning Rules. 2 ed., Imperial College Press, london, 2006. ISBN 1-86094-622-4.
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Perůtka, Karel. MATLAB : základy pro studenty automatizace a informačních technologií. Vyd. 1. Zlín : Ústav řízení procesů, Institut řízení procesů a aplikované informatiky, Rakulta technologická, 2005. ISBN 8073183552.
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Prokop, Roman. Teorie automatického řízení II pro bakalářské studium. 1. vyd. Zlín : FT VUT, 2000. ISBN 8021417412.
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