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Lecturer(s)
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Course content
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Topics of lectures - weeks of the semester 1. Introduction, analytical and experimental approach to modeling 2. Mathematical-physical analysis - example of a tank with an outlet, including analytical linearization 3. Hydraulic systems - two tanks below each other and next to each other 4. Complex hydraulic systems 5. Heating systems - heater and flow heater 6. Electrical systems - RC, RLC circuits 7. Mechanical systems - parachutist, ball on a pole, bouncing ball 8. Experimental identification of continuous-time transfer function parameters using optimization methods 9. Experimental identification of discrete-time transfer function parameters using the least squares method 10. Simulation of system behavior and forward control 11. Simulation of feedback control by continuous on-off and PID controller 12. Simulation of feedback control by digital on-off and PID controller 13. Simulation of hybrid systems
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
- Preparation for a credit (assessment)
- 20 hours per semester
- Preparation for an exam
- 40 hours per semester
- Contact teaching
- 39 hours per semester
- Home preparation for classes
- 39 hours per semester
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Learning outcomes
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The aim of the course is to introduce students to the issues of modelling and identification and simulation of dynamic systems. Using mathematical and physical analysis, models of typical hydraulic, thermal, electrical and mechanical systems. Procedures for identifying the parameters of continuous and discrete models of a controlled system and various methods of simulating system behavior and control circuits are shown. Modelling of hydraulic, thermal and mechanical systems and application of experimental identification methods will be carried out in the process workstations of the Industrial Automation Laboratory.
Upon completion of the course, the student demonstrates knowledge in the area of modeling and identification. The student is able to analytically derive a model of typical controlled systems, but also to identify the parameters of the chosen model from experimental data. The student is able to simulate the behaviour of the system in the continuous as well as in the discrete domain.
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Prerequisites
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Knowledge from the subjects Process Control I and II is supposed.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation
Student must get a credit and pass an oral examination.
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Recommended literature
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Balátě, Jaroslav. Automatické řízení. Praha: BEN - technická literatura, 2004. ISBN 80-7300-148-9.
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DUŠEK, F., HONC, D. Matlab a Simulink: úvod do používání. Pardubice: Univerzita Pardubice, 2005. ISBN 80-7194-776-8.
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Noskievič, Petr. Modelování a identifikace systémů. Ostrava: Montanex, 1999. ISBN 80-7225-030-2.
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