Title :
A Robust Controller Interpolation Design Technique
Author :
Hencey, Brandon ; Alleyne, Andrew G.
Author_Institution :
Univ. of Illinois at Urbana-Champaign, Urbana
Abstract :
In this paper, a robust controller interpolation technique is investigated and applied to an experimental test bed. Controller interpolation describes the process of switching or blending among a family of controllers. The proposed approach allows the individual controller designs to be decoupled by designing the controller interpolation after the family of controllers is designed. In contrast, the ´self-scheduled´ linear parameter varying techniques simultaneously design the family of controllers and the controller interpolation, thereby coupling the individual controller designs to one another. The presented controller interpolation framework uses the classic controller blending framework augmented by stabilizing compensators. The synthesis conditions for the stabilizing compensators maximizing robust stability is stated in terms of a set of bilinear matrix inequalities (BMI). In the motivating example, the stabilizing compensators are designed by using a search that is locally minimizing over the robustness metric.
Keywords :
compensation; interpolation; robust control; bilinear matrix inequalities; controller blending framework; robust controller interpolation design; robust stability; self-scheduled linear parameter varying technique; stabilizing compensator; Control systems; Interpolation; Linear matrix inequalities; Pi control; Proportional control; Robust control; Robust stability; Signal design; Signal generators; Switches; controller interpolation; linear parameter varying; linear systems; matrix inequalities;
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2007.4282665