A Particle Swarm Optimization approach for optimum design of PID controller for nonlinear systems

In this paper, a novel design method for determining the optimal proportional-integral-derivative (PID) controller parameters for Takagi-Sugeno fuzzy model using the particle swarm optimization (PSO) algorithm is presented. In order to assist estimating the performance of the proposed PSO-PID controller, a new timedomain performance criterion function has been used. The proposed approach yields better solution in term of rise time, settling time, maximum overshoot and steady state error condition of the system. the proposed method was indeed more efficient and robust in improving the step response.

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