Robust control configured design method for systems with multiobjective specifications

Author

Yoshizawa, Susumu ; Kawabe, Tohru ; Miyamoto, Sadaaki

Author_Institution

Tsukuba Univ., Japan

Volume

3

fYear

2001

fDate

25-28 July 2001

Firstpage

1746

Abstract

We propose a new design method for robust control configured systems with multiple design specifications. Since this design problem is formulated as the multiobjective minimax optimization problem, we use the genetic algorithm (GA) based technique to obtain the optimal solution. This design method is based on the input deviation, the minimax design approach and Pareto-partitioning GA. We apply this design method for designing a 4 wheeled steering car system. Some design examples are included to show the applicability and effectiveness of the proposed method

Keywords

automobiles; control system synthesis; genetic algorithms; minimax techniques; robust control; 4 wheeled steering car; Pareto-partitioning; genetic algorithm; minimax method; multiobjective optimization; robust control; stability; Algorithm design and analysis; Control design; Control systems; Design methodology; Design optimization; Genetic algorithms; Minimax techniques; Robust control; Robust stability; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.943816

Filename

943816