An Optimal PSO-Based Fuzzy Controller for a Nonlinear System

Abstract

Through this work, two artificial intelligence techniques are associated in order to design a control strategy of an inverted pendulum, which is considered as a nonlinear system. The controller combines the particle swarm optimization technique (PSO) with fuzzy logic controller (FLC). PSO is employed in this case, to find the optimal parameter values (gains and membership) of the fuzzy logic controller. Numerical simulations are given to show validity and effectiveness of the proposed control strategy.