Title :
A constrained optimization approach for robust pole placement
Author :
de Paiva, E.C. ; Santos-Mendes, R. ; Ferreira, P.A.V.
Author_Institution :
DCA-EEEC Unicamp, Campinas, Brazil
Abstract :
This paper presents a methodology for designing controllers that place the roots of the characteristic polynomial of an uncertain system inside a set of circular regions around the nominal roots. A geometric framework is used for the derivation of an accurate search domain for the feasible controllers. Inside the given domain, a genetic algorithm efficiently searches for the most robust controller.
Keywords :
closed loop systems; control system synthesis; genetic algorithms; geometry; pole assignment; polynomials; robust control; search problems; uncertain systems; circular region; closed loop pole position; constrained optimization approach; controller design; genetic algorithm; geometric framework; nominal roots; polynomial roots; robust controller; robust pole placement; search domain; uncertain system; Aerospace electronics; Genetic algorithms; Optimization; Polynomials; Robustness; Sociology; Statistics; Robust control; genetic algorithms; linear systems;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6
