Application of Fuzzy Immune PID Control Based on GA in Bending Control System

Author

Yu, Yuzhen ; Du, Fengshan ; Ren, Xinyi ; Zhang, Shangbin ; Hao, Wenxu

Author_Institution

Inst. of Mech. Eng., Yanshan Univ., Qinhuangdao, China

Volume

1

fYear

2010

fDate

12-14 Nov. 2010

Firstpage

245

Lastpage

248

Abstract

A novel control strategy of Fuzzy-Immune PID based on GA is proposed in this paper. The strategy learns from the immune feedback principle of biological immune system and takes advantage of the good approaching ability of fuzzy control to achieve nonlinear function of the immune controller, and then the GA algorithm is used to optimize parameters of PID controller and immune controller. Apply the strategy into the bending control system of rolling mills with characteristics of high nonlinearity, time-varying and time-delay. The simulation results indicate that the strategy has strong adaptability to the transformation of the system parameters and has advantages of low overshoot, short adjusting time, strong anti-disturbance ability and great robustness.

Keywords

artificial immune systems; bending; delays; fuzzy control; genetic algorithms; mechanical variables control; rolling mills; three-term control; time-varying systems; GA; bending control system; biological immune system; fuzzy immune PID control; genetic algorithms; immune feedback principle; rolling mills; time-delay system; time-varying system; Manufacturing; Bending control system; Fuzzy control; GA algorithm; Immune controller; Time-varying;

fLanguage

English

Publisher

ieee

Conference_Titel

System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2010 International Conference on

Conference_Location

Yichang

Print_ISBN

978-1-4244-8664-9

Type

conf

DOI

10.1109/ICSEM.2010.73

Filename

5640318