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Contoller Design
according to constraints placed on input variables

I am interested in methods for automated controller design. The subject of my research is the controller design according to constraints placed on input variables of the controled system.

It is often difficult to design controller on the real system in the industry as it usually blocks normal operation of the system during the tuning and using a wrong controller may damage the system. The described method solves this problem as the only connection with the reality during the design is through the data recorded from the real system. A model of the controlled system is identified from the measured data and it is then used to design the LQG controller. The controller is tuned to achieve optimal performance while keeping the constraints. The identified model is known including uncertainty, e.g. if there is few identification data. The controller tuning considers this kind of uncertainty in order perform well when connected to the real system.

The methods used for the controller design are LQG control, Bayesian statistics, Monte Carlo, and optimization.

Publications available for download:

• Ph.D. Thesis: Multivariate Adaptive Controller Design with Constraitns under Uncertainty
• Master Thesis: Návrh víceroměrového LQ regulátoru za neurčitosti podle omezujících podmínek na velikosti signálů (in czech)
• Short introduction - presentation: Jobcontrol: Nástroj pro odhadování a n Na těchto stranách nabízím spolupráci a vrh řízení systémů (in czech)

Selected Bibliography

• Novák Miroslav: Diplomová práce: Návrh víceroměrového LQ regulátoru za neurčitosti podle omezujících podmínek na velikosti signálů, ČVUT FJFI, (Praha 2001)
• Novák M., Böhm J.: Adaptive LQG controller tuning. In: Proceedings of the 22nd IASTED International Conference on Modelling, Identification and Control. (Hamza M. H. ed.). Acta Press, Calgary 2003, pp. 554-559, 1.2 MB
• Novák M., Böhm J., Nedoma P., Tesař L.: Adaptive LQG controller tuning. IEE Proceedings - Control Theory and Applications, 150 (2003), 6, 655-665.
• Novák M., Pavelková L.: Optimization of controller design using Monte-Carlo simulation. In: Multiple Participant Decision Making. CMP'04. (Andrýsek J., Kárný M., Kracík J. eds.). ÚTIA AV ČR, Praha 2004, pp. 1-15, 392 kB
• S. Popova, V. Lyubenova, M. Ignatova, M. Novak, J. Bohm. Two Approaches for Control Design of Continuous Growth of Saccharomyces Cervisae. International Conference, Automatocs&Informatocs, 04, 6-8 October 2004, Sofia, Bulgaria, pp. 271-274.
• M. Novák, J. Bohm: Controller Design and Quality Evaluation. In: Proceedings of Proceedings of the 15th International Conference on Process Control 2005. Slovak University of Technology, Bratislava, 2005
• L. Tesař, M. Novák: Support Environment for System Identification and Controller Design: Jobcontrol. Technical Report No. 2138. ÚTIA, Praha, 2005
• Novák Miroslav: Ph.D. Thesis: Multivariate Adaptive Controller Design with Constraitns under Uncertainty, ČVUT FJFI, (Praha 2006)
• Lyubenova V., Ignatova M., Novák Miroslav, Patarinska T.: Reaction Rate Estimators Of Fed-Batch Process For Poly-Beta-Hydroxybutyrate (PHB) Production by Mixed Culture , Proceednigs of the International Scientific Conference of Food Science, Techniques and Technologies 2006, p. 1-8, International Scientific Conference “Food Science, Techniques and Technologies 2006”, (Plovdiv, BG, 27.10.2006-28.10.2006)

 

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