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On Reference Governor in Iterative Learning Control for Dynamic Systems with Input Saturation
University of Melbourne, Australia.
National University of Singapore, Singapore.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
University of Southampton, United Kingdom.
2011 (English)In: Automatica, ISSN 0005-1098, Vol. 47, no 11, 2412-2419 p.Article in journal (Refereed) Published
Abstract [en]

Input saturation is inevitable in many engineering applications. Most existing iterative learning control (ILC) algorithms that can deal with input saturation require that the reference signal is realizable within the saturation bound. For engineering systems without precise models, it is hard to verify this requirement. In this note, a "reference governor" (RG) is introduced and is incorporated with the available ILC algorithms (primary ILC algorithms). The role of the RG is to re-design the reference signal so that the modified reference signal is realizable. Two types of the RG are proposed: one modifies the amplitude of the reference signal and the other modifies the frequency. Our main results provide design guidelines for two RGs. Moreover, a design trade-off between the convergence speed and tracking performance is also discussed. A simple simulation result verifies the effectiveness of the proposed methods.

Place, publisher, year, edition, pages
Elsevier, 2011. Vol. 47, no 11, 2412-2419 p.
Keyword [en]
Iterative learning control, Input saturation, Reference governor
National Category
Control Engineering
URN: urn:nbn:se:liu:diva-72021DOI: 10.1016/j.automatica.2011.08.024ISI: 000296210200010OAI: diva2:456020
Available from: 2011-11-11 Created: 2011-11-11 Last updated: 2013-07-22

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Norrlöf, Mikael
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ReferencesLink to record
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