Description: Existing PID parameter optimization methods are often difficult to both systems of quickness, stability and robustness requirement, aiming at the defects, this paper puts forward a multi-objective PID optimization design method, on the premise of meet the system robustness, the maximum overshoot, rise time and adjust time to a minimum as a subgoal of multi-objective optimization, and combining the NSGA - Ⅱ and PGA for its solution. Proves the algorithm of Pareto optimal solutions distribution uniformity, convergence and good robustness, policymakers can according to the requirement of the actual system in Pareto solution concentration choose finally satisfied solution, for the rapidity and stability and robustness of the tradeoff analysis provides the effective tool. The simulation results show the effectiveness and superiority of the design method.
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