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In the paper, we discuss how to design a predictive controller capable of addressing a number of important issues ranging from nominal stability to the model identification/controller design interplay. Nominal stability is ensured by resorting to Constrained Receding Horizon Predictive Control. As for robust stability, the connections between the frequency weighting P-polynomial in the cost function and the achievable robustness against multiplicative uncertainty are investigated. Then, a two-step design procedure is proposed in order to enhance the closed-loop robustness and obtain nominal performances. A correlation technique is also proposed as a tool to estimate uncertainty bounds to be used in controller design. Finally, the control and identification procedures are put together to form an iterative identification/control design methodology. A simulation example is reported to illustrate the approach.
Rocznik
Tom
Strony
9--24
Opis fizyczny
Bibliogr. 35 poz., rys., wykr.
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autor
autor
- Dipartimento di Informatica e Sistemistica Universita di Pavia, Via Ferrata 1, 27100 Pavia, Italy, scatto@conpro.unipv.it
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Bibliografia
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bwmeta1.element.baztech-article-BPZ1-0015-0001