Multiobjective robust control using evolutionary algorithms

Author

Chipperfield, A.J. ; Dakev, N.V. ; Fleming, P.J. ; Whidborne, J.F.

Author_Institution

Dept. of Autom. Control & Syst. Eng., Sheffield Univ., UK

fYear

1996

fDate

2-6 Dec 1996

Firstpage

269

Lastpage

273

Abstract

An evolutionary algorithm approach is proposed for the robust design of control systems. The evolutionary algorithm is used in conjunction with an H_∞ loop-shaping design procedure to perform multiobjective search over a set of possible weighting function structures and parameter values in order to satisfy a number of conflicting design criteria. An example of an electromagnetic suspension control system for a critical system, a magnetically levitated passenger transport vehicle, is used to demonstrate the proposed approach

Keywords

H^∞ control; control system synthesis; control systems; genetic algorithms; magnetic levitation; railways; robust control; H_∞ loop-shaping; electromagnetic suspension control; evolutionary algorithms; magnetic levitation; multiobjective search; optimisation; passenger transport vehicle; robust control; Algorithm design and analysis; Control systems; Evolutionary computation; Magnetic levitation; Open loop systems; Riccati equations; Robust control; Robustness; Shape; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-3104-4

Type

conf

DOI

10.1109/ICIT.1996.601588

Filename

601588