DocumentCode
3126186
Title
Robust Controller Design Based on Genetic Algorithms and System Simulation
Author
Sekaj, Ivan ; Sramek, Maria
Author_Institution
Department of Automatic Control Systems, Faculty of Electrical Engineering and Information Technology, Slovak University of Technology, Ilkovičova 3, 812 19 Bratislava, Slovak Republic, Phone: ++421 2 602 91 585, E-mail: ivan.sekaj@stuba.sk
fYear
2005
fDate
12-15 Dec. 2005
Firstpage
6881
Lastpage
6886
Abstract
A genetic algorithm based controller design approach is described. The genetic algorithm represents an optimisation procedure, where the cost function to be minimized comprises the closed-loop simulation and a performance index evaluation. Based on this, simple design and two robust controller design methods have been proposed. All design methods are experimentally compared. Additionally, for qualitative evaluation and comparison of different controllers a proposed statistical robustness measure is presented.
Keywords
Algorithm design and analysis; Control design; Control systems; Design methodology; Design optimization; Genetic algorithms; Information technology; Performance analysis; Process control; Robust control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN
0-7803-9567-0
Type
conf
DOI
10.1109/CDC.2005.1583269
Filename
1583269
Link To Document