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Lecturer(s)
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Course content
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1. Control aims, feedforward control, feedback control, simple control circuit 2. Measurements and actuators 3. Logic control 4. On-off and PID controller 5. Dynamical system, characteristics 6. Methods for PID controller tuning 7. Laplace transform 8. Transfer functions, block algebra 9. Stability of dynamic system, quality criteria 10. State-space description of dynamic system, controller, observer 11. Branched control circuits, multivariable control 12. Digital control, digital PID controller, Z-transform 13. Laboratory tasks
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Skills training
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Learning outcomes
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Introduction to automatic control theory and its application.
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Prerequisites
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unspecified
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Assessment methods and criteria
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Oral examination, Written examination
Attending lectures and seminars, examination in form of oral and written test.
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Recommended literature
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DORF, R.C., BISHOP, R.H. Modern Control Systems, Addison - Wesley, Berkeley, 1998.
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LUYBEN, W.L. Process Modeling, Simulation and Control for chemical engineers, McGraw-Hill, New York, 1973.
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