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Tuning PID controller with multi-objective differential evolution

This paper treats a tuning of PID controllers method using Multi-objective Differential Evolution. The objective was to apply the differential evolution algorithm in the aim of tuning the optimum solution of the PID controllers (Kp, Ki and Kd) by minimizing the multi-objective function. The potential of using Multi-objective Differential Evolution is to identify Pareto-optimal solution. A classic approach based on the Ziecgler-Nichols method is applied to make comparison. Simulation results demonstrate that the new tuning method using Multi-objective Differential Evolution has a better control system performance compared with the classic approach.