The Software of Auto-Tuning Parameters of PID Controller Based on Fuzzy Genetic Algorithm

Author

Fei Jingzhou ; Ma Xiuzhen ; Shi Yong

Author_Institution

Coll. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China

fYear

2010

fDate

10-12 Dec. 2010

Firstpage

1

Lastpage

4

Abstract

The software of auto-tuning parameters of PID control is developed for industrial controller. The output response curve of control system is recognized, and the scopes of the controller parameters are given to meet expected control index by fuzzy tuning rules based on pattern recognition. The PID parameters are optimized by means of genetic algorithm based on the optimization function of over-shoot, decay rate and the integrated time and absolute error indicators of the system response. The tuning software is used in the semi-physical simulation system of steam power plant, and the result of performance shows that the tuning algorithm is effective and the software can be use in industrial PID controller.

Keywords

control engineering computing; fuzzy set theory; genetic algorithms; industrial control; power engineering computing; power station control; steam power stations; three-term control; time-varying systems; PID parameters; absolute error indicators; auto tuning parameters software; fuzzy genetic algorithm; fuzzy tuning rules; industrial PID controller; optimization function; output response curve; pattern recognition; semiphysical simulation system; steam power plant; tuning software; Aerospace electronics; Gallium; Indexes; Optimization; Pattern recognition; Software; Tuning;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering (CiSE), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5391-7

Electronic_ISBN

978-1-4244-5392-4

Type

conf

DOI

10.1109/CISE.2010.5677274

Filename

5677274