【摘要】 给出了一种基于粒子群优化(PSO)算法的火炮伺服系统比例积分微分(PID)控制器优化设计方法。定义了一个综合考虑火炮调转时间、上升时间、超调量、系统静态误差、等速跟踪误差和正弦跟踪误差等动静态性能的指标函数,在给定的控制器参数空间进行组合优化搜索,可迅速求得使性能指标优化函数极小化的一组PID控制器参数。仿真结果表明该方法有效。更多还原

【Abstract】 An optimum design method based on particle swarm optimization(PSO) algorithm was presented for PID controller of an artillery servo system.A new performance criterion evolution function combined with the system maximum position settling time,rise time,overshoot,steady state error,constant velocity position tracking error and sinusoidal position tracking error was defined.It is fast to calculate a PID controller to minimize the evaluation function by searching on the given controller parameter space.The simulation results show that the proposed controller is effective.更多还原