Differential Evolution based Fuzzy Logic Controller for Nonlinear Process Control

• Autorzy: Sastry K.K.N. , Behera L. , Nagrath I.J.
• Języki publikacji: EN

Abstrakty

EN

This paper presents an unconventional approach to adaptive fuzzy logic controller (FLC) de-sign wherein a new evolution strategy. Differential Evolution (DE) is used in the simultane-ous design of membership functions and rule sets for fuzzy logic controllers. Differential Evo-lution is an exceptionally simple, fast and robust population based search algorithm that is able to locate near-optimal solutions to difficult problems. This technique, which is similar to genetic algorithms, has been applied to the control of pH, which is a requirement in many chemical industries. Control of pH poses a difficult problem because of inherent nonlinearities and frequently changing process dynamics. This technique has been successfully implemented on a laboratory scale pH plant setup. The results have been compared with a simple GA based adaptive FLC where we have incorporated a search space smoothing function for achieving faster convergence and for ascertaining a global optimum. Results indicate that FLC's aug-mented with DE's offer a powerful alternative to GA based FLC's. Results also show that the search space smoothing function helps in faster convergence of a GA.

Słowa kluczowe

EN

adaptive control; Differential Evolution (DE); Fuzzy Logic Control (FLC); genetic algorithm; nonlinear control; pH control; process control; smoothing function

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 1999
• Tom: Vol. 37, Nr 1,2
• Strony: 121--136
• Opis fizyczny: wykr., bibliogr. 20 poz.

Twórcy

autor

Sastry K.K.N.

autor

Behera L.

autor

Nagrath I.J.

• Centre for Robotics & Intelligent Systems, Birla Institute of Technology & Science, Pilani 333031, India,