A combined genetic algorithm and Sugeno fuzzy logic based approach for on-line tuning in pH process

Author

Valarmathi, K. ; Devaraj, D. ; Radhakrishnan, T.K.

Author_Institution

Dept. of Electr. & Electron. Eng., Kalasalingam Univ., Krishnankoil

Volume

3

fYear

2008

fDate

6-8 Sept. 2008

Abstract

Computing the optimal values of proportional integral derivative (PID) control gains is an important task in the design of PID controller. This paper presents the application of Sugeno fuzzy model for on-line tuning of PID controllers in pH process. The optimal PID controller parameters required to develop the Sugeno fuzzy model are estimated by genetic algorithm. The developed fuzzy controller can give the PID parameters on line for different operating conditions. The suitability of the proposed approach has been demonstrated through computer simulation using MATLAB Simulink.

Keywords

fuzzy control; fuzzy logic; genetic algorithms; optimal control; pH control; three-term control; Sugeno fuzzy logic; genetic algorithm; online tuning; optimal PID controller; pH process; proportional integral derivative control; Fuzzy control; Fuzzy logic; Genetic algorithms; Mathematical model; Optimal control; PD control; Pi control; Process control; Proportional control; Three-term control; Genetic Algorithm; PID controller; Sugeno Fuzzy Logic; pH process;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2008. IS '08. 4th International IEEE Conference

Conference_Location

Varna

Print_ISBN

978-1-4244-1739-1

Electronic_ISBN

978-1-4244-1740-7

Type

conf

DOI

10.1109/IS.2008.4670465

Filename

4670465