The research of PID self-tuning based on fuzzy genetic algorithm

Author

Gan Shu-chuan ; Guo Hui

Author_Institution

Sichuan Univ. of Sci. & Eng., Zigong, China

Volume

1

fYear

2011

fDate

26-28 July 2011

Firstpage

308

Lastpage

312

Abstract

To solve the problem of the diverse control requirements and turning the control parameters in the modern complex industrial process, a new method of PID self-tuning is proposed based on the genetic algorithm and fuzzy theory. The approach is used to optimize the PID parameters of temperature controller in heating furnace. Experiments indicate that control indices, such as control error, the stableness of temperature change are improved and this approach can successfully optimize the parameters in complex industrial process.

Keywords

electric furnaces; fuzzy set theory; genetic algorithms; heating; process control; self-adjusting systems; temperature control; three-term control; PID parameter optimization; PID self-tuning; complex industrial process; fuzzy genetic algorithm; heating furnace; temperature controller; Algorithm design and analysis; Furnaces; Genetic algorithms; Process control; Resistance heating; Intelligent Integrator; PID self-tuning; fuzzy genetic algorithms; intelligent module;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-61284-180-9

Type

conf

DOI

10.1109/FSKD.2011.6019590

Filename

6019590