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Lecturer(s)
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Kubalčík Marek, doc. Ing. Ph.D.
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Course content
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- Basic terms and problems of adaptive control systems. - Classification of adaptive control systems. - Adaptive controllers based on heuristic approach, model reference adaptive systems. - Self-tuning PID digital controllers based on the Ziegler-Nichols and pole assignment method. - Self-tuning controllers based on the algebraic control theory with one (1DOF) and two (2DOF) degrees of freedom. - Self-tuning controllers based on the Dead-beat method (weak and strong version). - Self-tuning controllers based on the pole assignment method. - Self-tuning linear quadratic controllers based on spectral factorization. - Self-tuning Smith predictor for control of processes with time-delay. - Delta models and their using in self-tuning controllers. - Model predictive control (MPC), principle, basic terms, models, cost functions. - Derivation and implementation of predictive control. - Predictive control with constraints.
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Learning activities and teaching methods
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Monologic (Exposition, lecture, briefing), Methods for working with texts (Textbook, book), Exercises on PC
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| prerequisite |
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| Knowledge |
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| System Theory Discrete Control System Identification |
| System Theory Discrete Control System Identification |
| learning outcomes |
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| classification of adaptive control systems |
| classification of adaptive control systems |
| classification of predictive control methods |
| classification of predictive control methods |
| priciples of controllers based on heuristic approach |
| priciples of controllers based on heuristic approach |
| a survey of modifications of recursive identification algorithms suitable for self-tuning controllers |
| a survey of modifications of recursive identification algorithms suitable for self-tuning controllers |
| principle of computation of parameters of individual modifications of PSD controllers |
| principle of computation of parameters of individual modifications of PSD controllers |
| Skills |
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| realization of PSD control algorithms |
| realization of PSD control algorithms |
| implementation of predictive control algorithms |
| implementation of predictive control algorithms |
| implementation of heuristic control algorithms |
| implementation of heuristic control algorithms |
| realization of self-tuning controllers with recursive identification of parameters of a model of the controlled system |
| realization of self-tuning controllers with recursive identification of parameters of a model of the controlled system |
| implementation of control algorithms based on pole-placement method |
| implementation of control algorithms based on pole-placement method |
| teaching methods |
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| Knowledge |
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| Exercises on PC |
| Monologic (Exposition, lecture, briefing) |
| Monologic (Exposition, lecture, briefing) |
| Exercises on PC |
| Methods for working with texts (Textbook, book) |
| Methods for working with texts (Textbook, book) |
| assessment methods |
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| Oral examination |
| Oral examination |
| Written examination |
| Written examination |
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Recommended literature
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Digital self-tuning controllers : algorithms, implementation and applications. London : Springer, 2005. ISBN 1-85233-980-2.
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Praktické aspekty samočinně se nastavujících regulátorů : algoritmy a implementace. 1. vyd. Brno : VUTIUM, 1999. ISBN 80-214-129-92.
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Bobál, V. Adaptivní a prediktivní řízení. Univerzita Tomáše Bati ve Zlíně, 2008. ISBN 978-80-7318-662-3.
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Haber, R. et al. Predictive Control in Process Engineering. 2011. ISBN 978-3-527-31492-8.
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Landau, D. L. et al. Adaptive Control. Springer-Verlag London, 2011. ISBN 978-0-85729-663-4.
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Mareš, J. a P. Hrnčiřík. Základy prediktivního řízení. VŠCHT Praha, 2012. ISBN 1-85233-980-2.
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Mikleš, J., Fikar, M. Process modelling, identification, and control 2. Bratislava : STU, 2004. ISBN 80-227-2132-8.
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