圆柱零件加工用直线电机模糊自适应PID控制及建模

Fuzzy Self-Adaptive PID Control and Modeling of Linear Motor in Cylindrical Workpiece Processing

旨在提高直线电机传统PID控制方法在运行中的动静态特性、稳定性，基于模糊自适应PID控制方法，提出了直线电机模糊自适应PID控制模型．采用Mamdani推理法和加权平均法，完成了模糊自适应PID控制规则的建立．应用Simulink软件建立了直线电机模糊自适应PID控制整体模型，并对该模型进行了仿真．仿真结果表明：模糊自适应PID控制的速度响应超调量较传统PID控制小，显著优于传统PID控制；在加入扰动后，模糊自适应PID控制模型的波动范围为0．9～1．1m·S-1；直线电机模糊自适应PID控制具有运行过程平稳，适应性强，良好的动、静态特性等优点．

A fuzzy self-adaptive PID control model based on methods of fuzzy self-adaptive PID control is put forward to improve the dynamic and static characteristics and stability of linear motor in the process of traditional PID control. The rules of fuzzy self-adaptive PID control are established by use of Mamdani reasoning and weighted average method. A integral model of fuzzy self-adaptive PID control of linear motor is built by use of software Simulink and is simulated. The simulation results show： The speed response of fuzzy self-adaptive PID control is quicker and the overshoot is smaller, compared to traditional PID control, which implies fuzzy self-adaptive PID control is superal to traditional PID control. Fuzzy self-adaptive PID control model will range from 0.9 to 1.1 m . s-1 when disturbance is added to this model. Linear motor fuzzy self-adaptive PID control has advantages of stable operation process, strong adaptability and good dynamic and static characteristics.