Evolutionary design of PID controller for twin rotor multi-input multi-output system

Author

Wang, Wei-Yen ; Lee, Tsu-Tian ; Huang, Hung-Chih

Author_Institution

Dept. of Electron. Eng., Fu-Jen Catholic Univ., Taipei, Taiwan

Volume

2

fYear

2002

fDate

2002

Firstpage

913

Abstract

In this paper, a framework to automatically generate a set of parameters of PID (proportional, integral and derivative) controllers for the twin rotor multi-input multi-output system (TRMS) by using a simplified genetic algorithm (GA) is proposed. The simplified GA is proposed for tuning the PID parameters. The sequential search method is used to find the desired crossover point for the crossover operation. Finally, the optimal PID parameters are applied to the TRMS. Simulation results and experimental verification are demonstrated to show the effectiveness and performance of the proposed method.

Keywords

MIMO systems; control system synthesis; genetic algorithms; intelligent control; optimal control; three-term control; PID controller; PID parameters tuning; crossover point; evolutionary algorithm; evolutionary design; genetic algorithm; optimal PID parameters; sequential search method; simulation results; twin rotor multi-input multi-output system; Automatic control; Automatic generation control; Control systems; Genetic algorithms; PD control; Pi control; Proportional control; Rotors; Three-term control; Transmission line measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on

Print_ISBN

0-7803-7268-9

Type

conf

DOI

10.1109/WCICA.2002.1020708

Filename

1020708