Genetic algorithm based optimal design of fuzzy logic controller for active magnetic bearings

Abstract

The performance of fuzzy logic controller (FLC) depends on the experts' knowledge for tuning its parameters. In the present work to automate this process, genetic algorithm (GA) based optimized FLC design is proposed. FLC is designed for the contactless active magnetic bearing (AMB) having nonlinear characteristics. Membership functions of FLC are tuned by GA based optimization process. The performance of the optimized FLC is compared with PD controller and manually tuned FLC for various initial displaced positions of the AMB rotor.