PID Tuning Based on Improved Quantum Genetic Algorithm

Author

Jian Zhang ; Li Liu ; Huanzhou Li ; Zhangguo Tang

Author_Institution

Sch. of Phys. & Electron. Eng., Sichuan Normal Univ., Chengdu, China

Volume

2

fYear

2013

fDate

28-29 Oct. 2013

Firstpage

44

Lastpage

47

Abstract

Parameters tuning is the key of the design of PID controller, for the PID parameters tuning, a PID parameters tuning method based on improved quantum genetic algorithm is proposed in this study. This study proposes an improved genetic algorithm (IQGA) which introduces a dynamic adjustment strategy of population and search intervals to improve the convergence speed, search ability and stability of quantum genetic algorithm-based PID parameters tuning method. Experimental results show that the proposed algorithm can obtain a good performance in PID parameters tuning problem.

Keywords

control system synthesis; genetic algorithms; search problems; three-term control; IQGA; PID controller design; PID parameters tuning method; dynamic adjustment strategy; improved quantum genetic algorithm; search ability; search intervals; Genetic algorithms; PD control; Quantum computing; Sociology; Statistics; Tuning; PID parameters; quantum genetic algorithm; tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on

Conference_Location

Hangzhou

Type

conf

DOI

10.1109/ISCID.2013.125

Filename

6804824