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Robust Predictive Control Using a Time-Varying Youla Parameter

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, a standard predictive control problem (SPCP) is formulated, which consists of one extended process description with a feedback uncertainty block. The most important finite horizon predictive control problems can be seen as special realizations of this SPCP. The SPCP and its solution are given in a state-space form. The objective of the controller is a nominal performance subject to signal constraints and robust stability with respect to a 1-norm bounded model uncertainty. The optimal controller consists of a feedforward part for nominal signal tracking and a feedback part for disturbance rejection and model error compensation. The feedforward part is realized by the predictive controller for the nominal disturbance-free case. The feedback part of the controller is realized by using the Youla parametrization. The Youla parameter is optimized at every sample time in a receding horizon setting to cope with signal constraints and (robust stability) constraints on the operator itself.
Rocznik
Strony
101--128
Opis fizyczny
Bibliogr. 26 poz., rys.., wykr.
Twórcy
  • Department of Electrical Engineering Delft University of Technology P.O. Box 5031, 2600 GA Delft, the Netherlands, t.j.j.vdBoom@et.tudelft.nl
Bibliografia
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0015-0004
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