基于遗传算法和卡尔曼滤波器的PID控制

针对PID控制系统中参数的整定及控制干扰信号和测量噪声信号,提出基于遗传算法和卡尔曼滤波器的PID控制方法。系统利用遗传算法优化PID参数,通过卡尔曼滤波器抑制控制干扰信号和测量噪声信号。仿真结果表明此方法响应速度快、抗干扰能力强、达到了全局最优PID参数整定,有效地滤除系统的控制干扰和测量噪声信号,具有比传统PID控制方法更好的动态和静态控制性能,控制品质有较大的改善和提高。为PID控制系统的研究提供了一种方法。

PID Control Based on GA and Kalman Filter

Aiming at the tuning parameters and signal of disturbing that effect controller and the sound of measure in PID controller system,a new-type controller based on GA and Kalman filter is presented in this paper.In this controller,the genetic algorithm is utilized to optimize the parameters of PID,and the Kalman filter is applied to restrain the signal of disturbance that affect controller and the sound of measure.The results of computer simulation show that the controller has enhanced response and robustness,has achieved the overall situation most superior PID parameter installation,filters system's control disturbance and the measurement noise signal effectively has better dynamic and static property than traditional PID method.The control quality has big improvement and enhancement.Control system's research has provided one method for PID.