基于遗传算法的可控励磁直线磁悬浮同步电动机自抗扰控制

对可控励磁直线磁悬浮电动机控制系统提出基于遗传算法的自抗扰控制策略。根据可控励磁直线磁悬浮电动机的运行机理,建立其数学模型。设计反馈跟踪微分器、扩张状态观测器、非线性反馈控制律,对传统函数fal进行改进,应用到控制器中。实现对给定信号的跟踪,并将系统耦合量和外界扰动作为系统的“总扰动”,并对总扰动进行观测与补偿。针对控制器中存在多个参数难以整定的问题,采用遗传算法对控制器参数进行寻优。对控制系统进行仿真研究,结果表明,基于遗传算法的自抗扰控制系统具有对参考信号良好的跟踪性能,以及对干扰信号的抑制能力。

Active disturbance rejection control of controllable excitation linear magnetic levitation synchronous motor based on genetic algorithm

The active disturbance rejection control strategy that based on genetic algorithm is proposed for the control system of controllable excitation linear magnetic levitation synchronous motor.According to the operating mechanism of the controllable excitation linear magnetic levitation synchronous motor,established the mathematical model.Designed the feedback tracking differentiator and the extended state observer and the nonlinear feedback control law,besides improved the traditional function fal,applied to the controller.Realized the tracking of the given signal also observe the system coupling amount and external disturbance signal to the"total disturbance"of the system meanwhile observe the it and give compensation.For the problem exist many parameters in the controller which are difficult to be set,using the genetic algorithm to optimize the controller parameters.Established simulation of the control system,the results show that the active disturbance rejection control system based on genetic algorithm has good tracking performance for reference signals and the well suppress ability for disturbance signals.