Study about Intelligent Control Methods of Chemical Industry Process

Author

Xie Shi-hong ; Gong Wenzhan

Author_Institution

Shaanxi Univ. of Sci. & Technol., Xi´an, China

Volume

2

fYear

2012

fDate

23-25 March 2012

Firstpage

36

Lastpage

39

Abstract

In view of the characteristics of chemical industry process´s nonlinearity and time delay, a novel fuzzy immune PID control method was proposed. It adjusts the PID controller´s parameters based on the biological immunity principle, and fuzzy reasoning is used to realize the nonlinear immunity feedback function. By this way, the fuzzy immune PID controller can adapt that the pH value changes in large scale. Compared to adaptive fuzzy PID controller, the fuzzy immune PID controller can achieve better control indexes. Simulation experiments were executed to confirm it.

Keywords

adaptive control; chemical industry; feedback; fuzzy control; fuzzy reasoning; intelligent control; nonlinear control systems; three-term control; adaptive fuzzy PID controller; biological immunity principle; chemical industry process; fuzzy immune PID controller; fuzzy reasoning; intelligent control; nonlinear immunity feedback function; nonlinearity; time delay; Analytical models; Control systems; Fuzzy reasoning; Immune system; Mathematical model; Process control; Production; PID control; adaptive fuzzy PID control; fuzzy immune PID control; pH value control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.471

Filename

6187958