Optimal Indirect Robust Adaptive Fuzzy Control Using PSO for MIMO Nonlinear Systems

摘要

This brief addresses The fuzzy adaptive control for class of MIMO nonlinear systems using Particle Swarm Optimization metaheuristic (PSO). To estimate the uncertain parts of the process, fuzzy logic systems are used. The uncertain nonlinearities of the system are captured by fuzzy systems that have been proven to be universal approximators. The Adaptations parameters are set to be approximated using PSO. The proposed control scheme completely overcomes the singularity problem that occurs in the indirect adaptive feedback linearizing control. Projection in the estimate parameters is not required and the stability analysis of the closed-loop system is performed using Lyapunov approach. Simulation results are provided to perform the effectiveness of the proposed control design.