Share Email Print
cover

Proceedings Paper

Tuning parameters of PID controller based on fuzzy logic controlled genetic algorithms
Author(s): Dongqing Feng; Xiaopei Wang; Minrui Fei; Tiejun Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

To solve the problem of tuning parameters of PID controller using the conventional genetic algorithm, an improved genetic algorithm based on fuzzy inference is proposed. On the basis of generalizing heuristic knowledge about crossover and mutation operations, a fuzzy controller is designed to adaptively adjust the crossover rate and mutation rate. The fuzzy logic controlled genetic algorithm (FCGA) improves global optimization ability of the standard genetic algorithm. We apply it to adaptive PID controller. The comparison between the FCGA and the SGA is performed, which demonstrates that the FCGA has much better capability of parameters optimization and convergent speed, and it can also fulfill the requirement of real-time control.

Paper Details

Date Published: 30 October 2006
PDF: 6 pages
Proc. SPIE 6358, Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation, 635849 (30 October 2006); doi: 10.1117/12.718210
Show Author Affiliations
Dongqing Feng, Zhengzhou Univ. (China)
Shanghai Univ. (China)
Xiaopei Wang, Zhengzhou Univ. (China)
Minrui Fei, Shanghai Univ. (China)
Tiejun Chen, Zhengzhou Univ. (China)


Published in SPIE Proceedings Vol. 6358:
Sixth International Symposium on Instrumentation and Control Technology: Sensors, Automatic Measurement, Control, and Computer Simulation
Jiancheng Fang; Zhongyu Wang, Editor(s)

© SPIE. Terms of Use
Back to Top