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Lecturer(s)
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Course content
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1. Controller design by placing poles in a continuous-time domain 2. Quadratically optimal controller in continuous-time - servo problem 3. Quadratically optimal controller in continuous-time - regulator problem 4. Controller design by placing the poles in the discrete-time domain 5. Quadratically optimal controller in discrete-time - servo problem 6. Quadratically optimal controller in discrete-time - regulator problem 7. Cascade control 8. Multidimensional decentralized controller 9. Multidimensional decentralized controller with cross-coupling compensation 10. Multivariate state-space controller 11. Adaptive controller - online identification through least squares method and a controller designed with the help of the pole placement 12. Adaptive controller - online identification through least squares method and quadratically optimal controller 13. Predictive controller
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
- Practical training
- 13 hours per semester
- Contact teaching
- 52 hours per semester
- Individual project
- 10 hours per semester
- Team project
- 20 hours per semester
- Preparation for laboratory work and processing of results
- 20 hours per semester
- Home preparation for classes
- 26 hours per semester
- Preparation for an exam
- 10 hours per semester
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Learning outcomes
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The aim of the course is to practice the knowledge acquired in the continuous- and discrete-time control subjects in the laboratory. Students gradually design and apply different types of control systems to laboratory processes - level, speed, temperature, position, pressure and flow control, for two-dimensional hydraulic-pneumatic system and for multi-dimensional system TecQuipment with flow, level, temperature and pressure control.
After completing the course the student understands advanced methods of continuous- and discrete-time control, has practical experience with application of methods in the laboratory conditions, can apply methods in Simulink environment, but also as a MATLAB script.
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Prerequisites
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Knowledge from subjects continuous- and discrete-time control.
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Assessment methods and criteria
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Oral examination, Home assignment evaluation, Discussion
Student must obtain credit and pass an oral exam.
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Recommended literature
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BALÁTĚ, J. Automatické řízení. Praha: BEN, 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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HAVLENA, V., ŠTECHA, J. Moderní teorie řízení. Praha: ČVUT, 1999.
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KWAKERNAAK, H., SIVAN, R. Linear Optimal Control Systems. New York: John Wiley & Sons, 1972. ISBN 0-471-51110-2.
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