基于迭代学习控制的导弹PID控制器参数寻优

Iterative learning control for PID parameters auto-optimization of missile controller

摘要:

针对设计导弹PID控制器时存在的对比例、微分、积分3个控制参数大量盲目试凑的问题,利用迭代学习算法对控制参数进行自动寻优,最终得到最佳控制参数,从而实现了对PID控制器参数自动寻优的目的,简化了控制器的设计过程。通过仿真结果验证该方法在PID控制器参数自动寻优上是有效的,同时也为导弹控制器参数整定提供了工程适用的方法。

Abstract:

Aiming at the problem of a great deal of blindly searching the proportional, differential, integral parameters in the process of designing the missile’s PID controller, a new method based on iterative learning algorithm is proposed to optimize those three controller parameters, thus the optimal parameters can be achieved automatically, and the design of the PID controller is simplified. As the simulation results shown, the effectiveness of the method is verified in optimizing the PID controller parameters, and the method above is also an approach for the adjustment of the controller parameters.