Creator:
Van Den Boom, Ton J.J. ; De Vries, Rob A.J.
Contributor:
Title:
Robust predictive control using a time-varying youla parameter
Subtitle:
Group publication title:
Subject and Keywords:
predictive control ; Youla parametrization ; stability ; robustness
Abstract:
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 I-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.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
Pages:
Source:
AMCS, volume 9, number 1 (1999) ; click here to follow the link