Abstract：Heuristics such as particle swarnl optimization is employed to enhance the capability of traditional techniques， which is easy to produce surge and big overshoot，but PS0 may be trapped in the local optima of the objective and lead to poor performance． This paper propesed the quantum-behaved particle 8wsl in optimization for the parameter optimization of PID controller． A fitness function containing performance indexes Was defined and the algorithm Was used in multi-object optimization of PID controllers． Two examples were given to illustrate the design procedure and exhibit the effectiveness of the proposed method via tomo parison study with the existing Z—N and PSO approaches．

2、PID控制器的量子粒子群多目标优化设计.pdf

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