基于遗传算法的模糊滑模控制在永磁直线电机位置控制中的应用

Application of Adaptive Fuzzy Sliding Mode Control Based on GA in Positioning Servo System of the Permanent Magnetic Linear Motors

针对永磁直线电机控制中的推力扰动及参数变化问题,设计了一种改进的自适应模糊滑模变结构控制器(AF-SMC).利用遗传算法优化模糊变量的隶属度函数曲线.仿真和实验结果表明,与经典PID算法和一般模糊滑模控制算法相比较,新的算法具有更好的响应性能和抗干扰能力,抖振降低.

An adaptive fuzzy sliding mode control scheme（AFSMC） is proposed which is aimed at the problem of parameter variation and external disturbance of the permanent magnet linear motor（PMLM）. GA algorithm is used to optimize the membership functions of fuzzy variables.Simulation study is made based on permanent magnet linear motor governors（PMLMG）.The results of the experiment show that the proposed control scheme is of shorter regulating time,smaller overshoot and higher precision motion tracking application comparing with the general PID algorithm and the conventional fuzzy SMC algorithm.