[关键词]
[摘要]
可控励磁直线同步电机磁悬浮控制系统具有非线性以及扰动不确定性的特点,采用模糊PID控制具有很强的针对性,然而,模糊PID控制器为三输入单输出控制器,其规则数太多,使得控制器设计非常复杂。因此,对可控励磁直线同步电机磁悬浮控制系统提出合成模糊控制。研究可控励磁直线同步电机的结构,建立磁悬浮直线同步电机的数学模型。合成模糊控制器采用模糊PD控制器和模糊积分器的合成构成模糊PID控制器,在减少模糊控制规则数的同时提高磁悬浮控制系统的稳态精度,因此分别设计模糊PD控制器和模糊积分控制器,包括模糊化、模糊推理、去模糊化等。在MATLAB中建立可控励磁直线同步电机磁悬浮控制系统的仿真模型并进行仿真研究。结果表明合成模糊控制器具有良好的控制效果,可以减小稳态误差提高控制精度。
[Key word]
[Abstract]
The magnetic levitation system of controllable excitation linear synchronous motor has the characteristics of nonlinearity and disturbance uncertainty, and the fuzzy PID control has strong pertinence. However, the fuzzy PID controller is a three-input single-output controller with too many rules, so that the design of the controller is very complex. Therefore, a synthetic fuzzy control system for the controllable excitation linear synchronous motor is proposed. The structure of the motor is studied, and the mathematical model is established. The fuzzy PID controller is composed of fuzzy PD controller and fuzzy integral controller, which can improve the steady-state accuracy of the controlled motor and reduce the number of fuzzy control rules. The fuzzy PD controller and fuzzy integral controller are designed respectively, including fuzzification, fuzzy reasoning, deblurring and so on. The simulation model of the controlled motor is established in MATLAB. The simulation results show that the synthetic fuzzy controller has good control effect, reduces the steady-state error, and improves the control accuracy.
[中图分类号]
[基金项目]
国家自然科学基金项目(51575363)