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1 Fundamenta Informaticae

1 1999

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Differential Evolution based Fuzzy Logic Controller for Nonlinear Process Control

Sastry K.K.N., Behera L., Nagrath I.J.

Fundamenta Informaticae

1999

Vol. 37, Nr 1,2

121-136

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.