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Lecturer(s)
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Dušek František, doc. Ing. CSc.
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Course content
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1. System (structure, characteristics, description), automatic control (actuating, regulation and control, feedforward and feedback control, stability and quality), tools (MATLAB/SIMULINK) 2. Static and dynamic systems, distributed parameters systems, time invariant system, steady state, static characteristic, dead time, nonlinear model and linearization, superposition principle 3. Differential equations and Laplace transformation, difference equations and Z-transformation, transfer function, continuous and discrete model, sampling, algebra of transfer functions 4. Linear SISO and MIMO models, description of input-output and state space models, time and frequency characteristic of system, autonomous and invariant system 5. State space model ? controllability and observability, conversion between input-output and state space models 6. State estimator, Kalman filter 7. Experimental identification, models, structure, approximation, experimental data (noise, excitation) 8. Identification of discrete linear model parameters (offline and online Least Square Method) 9. Closed control loop, stability of linear systems, critical gain and period, safety in amplitude and phase, control quality 10. Fixed structure controller (PID), continuous and discrete version, tuning methods (based on step response, critical values, approximated model) 11. Fixed structure controller (PID) for systems with large dead time (Smith predictor) 12. Controller design based on Pole Assignment method I. 13. Controller design based on Pole Assignment method II.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Methods of individual activities, Skills training
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Learning outcomes
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The goal is to acquaint the students with grounding of systems theory and with selected methods of continuous and discrete control design based on linear math models
Student will learn problematic of simple controllers design.
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Prerequisites
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The basic knowledge from mathematics, math modelling and automatic control is supposed. The knowledge of MATLAB/SIMULINK environment is excepted, too.
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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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Dorf, Richard C. Modern control systems. Menlo Park: Addison-Wesley, 1998. ISBN 0-201-30864-9.
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MIKLEŠ, J., FIKAR, M. Modelovanie, identifikácia a riadenie procesov 2. STU Bratislava, 2004. ISBN 80-227-2134-4.
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Mikleš J., Hutla V. Teória automatického riadenia. 1986, ALFA Bratislava..
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Štecha, Jan. Teorie dynamických systémů. Praha: Vydavatelství ČVUT, 1999. ISBN 80-01-01971-3.
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VÍTEČKOVÁ, M., VÍTEČEK, A. Základy automatické regulace. VŠB TU Ostrava, 2008. ISBN 978-80-248-1924-2.
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WILKIE, J., Johnson,M., KATEBI, R. Control engeneering An introductary course. Palgrave New York, 2002. ISBN 0-333-77129-X.
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