Differential evolution based optimal fuzzy logic control of pH neutralization process

Author

Singh, Parikshit Kishor ; Bhanot, Surekha ; Mohanta, Hare Krishna

Author_Institution

Dept. of Electron. & Instrum., BITS Pilani, Pilani, India

fYear

2014

Firstpage

1

Lastpage

5

Abstract

Differential evolution (DE) is a member of evolutionary algorithm family which has gained popularity due to its conceptual simplicity and better convergence. This paper presents fuzzy logic based pH control scheme for neutralization process in which DE is used to optimize the input and output membership functions of fuzzy inference system (FIS). The fitness function for optimization is integral of squared errors (ISE). DE is able to converge and find optimal global solution over narrow as well as wide search spaces. Finally the controller performance has been evaluated for servo and regulatory operations.

Keywords

chemical reactors; convergence; evolutionary computation; fuzzy control; fuzzy reasoning; optimal control; pH control; search problems; DE; FIS; ISE optimization; convergence; differential evolution based optimal fuzzy logic control; evolutionary algorithm; fitness function; fuzzy inference system; input membership function optimization; integral-of-squared error optimization; narrow-search space; optimal global solution; output membership function optimization; pH neutralization process; regulatory operation; servo operation; wide-search space; Convergence; Evolutionary computation; Fuzzy logic; Mathematical model; Optimization; Process control; Servomotors; differential evolution; fuzzy logic; intelligent control; neutralization process; pH;

fLanguage

English

Publisher

ieee

Conference_Titel

Convergence of Technology (I2CT), 2014 International Conference for

Print_ISBN

978-1-4799-3758-5

Type

conf

DOI

10.1109/I2CT.2014.7092060

Filename

7092060