Optimization of intelligent fuzzy controllers for industrial facilities

Author

Kudinov, Y.I. ; Kelina, A.Y. ; Pashchenko, A.F. ; Pashchenko, F.F.

Author_Institution

Lipetsk State Tech. Univ., Lipetsk, Russia

fYear

2014

fDate

15-17 Oct. 2014

Firstpage

1

Lastpage

3

Abstract

Classical linear controllers often do not provide required quality of control of real, mostly nonlinear industrial facilities. Under these conditions, high efficiency show fuzzy PID controllers and their modifications, which, by appropriate choice of parameters, can become nonlinear and better suited for the control of nonlinear industrial facilities. In this paper we propose a simplified method for determining the optimal parameters of fuzzy PD controller with the use of MATLAB and the method of fuzzy linearization discussed in [1, 2, 3].

Keywords

PD control; control nonlinearities; fuzzy control; intelligent control; linearisation techniques; nonlinear control systems; optimal control; optimisation; production facilities; quality control; three-term control; MATLAB; classical linear controller; fuzzy PD controller; fuzzy PID controller; fuzzy linearization; intelligent fuzzy controller; nonlinear industrial facility; optimal parameter; optimization; quality of control; Industrial plants; MATLAB; Mathematical model; Optimization; PD control; Process control; MATLAB; fuzzy PD controller; fuzzy model; fuzzy systems; optimal parameters;

fLanguage

English

Publisher

ieee

Conference_Titel

Application of Information and Communication Technologies (AICT), 2014 IEEE 8th International Conference on

Conference_Location

Astana

Print_ISBN

978-1-4799-4120-9

Type

conf

DOI

10.1109/ICAICT.2014.7035988

Filename

7035988