Abstract：PID controller’s performance completely depends on the combination of the control parameters，an improved particle swal31n optimization(Crossbreed-PSO)is proposed in tuning and optimization of PID parameters in this paper．it adopts the cross— breeding mechanism in genetic algorithm，and using non-hnear inertia weight reduction strategy to accelerate the optimize convergenee and improve the search capabilities of particles．The algorithm is applied to optimize a second-order system PID control parameters，simulation results show that the improved PSO has a better performance than both the conventional particle 8warnl optimization and genetic algorithm，which means a well prospective．

4、改进粒子群算法整定PID参数研究.pdf

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