PID-PSO control for Takagi-Sugeno Fuzzy model

In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters of nonlinear system of Takagi-Sugeno Fuzzy model using the particle swarm optimization (PSO) algorithm is presented. This paper demonstrated in detail how to employ the PSO method to search efficiently the optimal PID controller parameters of a nonlinear system. The proposed approach had superior features, including easy implementation, stable convergence characteristic, and good computational efficiency. Fast tuning of optimum PID controller parameters yields high-quality solution. In order to assist estimating the performance of the proposed PSO-PID controller. Compared with the method of pole placement, the proposed method was indeed more efficient and robust in improving the response of a nonlinear system for Takagi-Sugeno Fuzzy model.