A real coded genetic algorithm for matrix inequality design approach of robust PID controller with two degrees of freedom

Author

Kawabe, Tohru ; Tagami, Takanori

Author_Institution

Inf. Processing Center, Tokushima Univ., Japan

fYear

1997

fDate

16-18 Jul 1997

Firstpage

119

Lastpage

124

Abstract

Presents a new, real-coded genetic algorithm and proposes a new design method for a robust PID controller with two degrees of freedom. This design method is based on the matrix inequality and on a real-coded genetic algorithm as an optimization technique. The 2-DOF PID controller designed by the proposed method satisfies the robust stability of a closed-loop system against parametric uncertainties of the plant and multiple design specifications for robust performance. This method is demonstrated by numerical simulations and shows good control performance

Keywords

closed loop systems; control system synthesis; genetic algorithms; matrix algebra; numerical analysis; optimal control; performance index; robust control; three-term control; uncertain systems; closed-loop system; control performance; matrix inequality; multiple design specifications; numerical simulations; optimization technique; parametric uncertainties; real-coded genetic algorithm; robust PID controller design; robust stability; Algorithm design and analysis; Control systems; Design methodology; Design optimization; Genetic algorithms; Linear matrix inequalities; Robust control; Robust stability; Three-term control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 1997. Proceedings of the 1997 IEEE International Symposium on

Conference_Location

Istanbul

ISSN

2158-9860

Print_ISBN

0-7803-4116-3

Type

conf

DOI

10.1109/ISIC.1997.626427

Filename

626427