Particle swarm optimize fuzzy logic memberships of AC-drive

Abstract

A numerous industries need to the applications of a variable speed underneath a high quality controller, in recent years the ac drive has been one of the most important strategies in speed control due to a high reliability of induction motor and the development in power electronic field, this paper proposed the Fuzzy Logic Controller (FLC) to get a superior behavior over a wide range of speed variation. Fuzzy logic is a robust controller for linear and non-linear system, but adjusting fuzzy controller parameters is a challenging problem, it depends on operator's experience. (Nowadays, many intelligent techniques are used for this task). In this work Particle Swarm Optimization (PSO) algorithm is utilized to adapting centers and width of triangle membership functions, this method deal with a simulation of a complete mathematical model of an induction motor and its inverter. The simulation results demonstrate that the proposed PSO-FLC speed controller realizes a good dynamic behavior of the I.M compared with conventional FLC and PID controller. © 2012 Springer-Verlag.