Design of robust safety controller for model following by using a genetic algorithm

Author

Zhu, Rongyan ; Yamane, Yuzo

Author_Institution

Ashikaga Inst. of Technol., Japan

Volume

1

fYear

2001

fDate

2001

Firstpage

712

Abstract

This paper is concerned with the design of a collision-avoidance robust controller based on a genetic algorithm. This paper deals with the problem of designing a robust safety controller with an additional integral-type control which forces the plant output of a linear multivariable time system to converge to that of a reference model without any collisions, even if there are variations in the plant parameters

Keywords

collision avoidance; continuous time systems; control system synthesis; genetic algorithms; linear systems; model reference adaptive control systems; multivariable control systems; optimal control; robust control; safety systems; additional integral-type control; collision avoidance; genetic algorithm; integral compensator; linear multivariable time system; model following; plant output convergence; plant parameter variations; reference model; robust safety controller design; Algorithm design and analysis; Collision avoidance; Control systems; Differential equations; Genetic algorithms; Polynomials; Postal services; Robust control; Safety; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE

Conference_Location

Denver, CO

Print_ISBN

0-7803-7108-9

Type

conf

DOI

10.1109/IECON.2001.976702

Filename

976702