基于遗传算法的数控机床进给伺服系统模糊PID位置控制研究

文章针对电机引入的非线性、参数不确定性及对位置伺服系统快速定位和无超调的要求问题，提出了一种新的位置控制方法，即基于遗传算法的模糊PID位置控制。该方法结合遗传算法和模糊PID控制的优点，利用遗传算法优化模糊PID控制系统的模糊控制规则，通过模糊控制规则对PID参数进行实时修改。仿真结果表明，这种位置控制器具有良好的稳态精度和动态响应，与传统比例位置控制的伺服系统相比，具有良好的动态、稳态性能以及较强的鲁棒性。

Research on the fuzzy PID position control system of the servo system of NC machines based on genetic algorithm

In view of the introduction of the non - linear motor, parameters uncertainty and rapid positioning requirements of the servo system, a new method of position control, the fuzzy PID position control based on genetic algorithm is proposed. The combination of genetic algorithm with the fuzzy PID control is used to optimize fuzzy control rules of fuzzy PID control system, and make use of fuzzy reasoning on -line to adjust PID control parameters. Simulation results show that the proposed method has better steady position accuracy and dynamic response in comparison with the traditional PID method of the servo control system, and that this controller has good dynamic and static performance and robustness.