基于遗传算法的永磁同步电机模糊PI转速控制

Fuzzy PI Speed Control of Permanent Magnet Synchronous Motor Based on Genetic Algorithm

针对永磁同步电机使用传统比例积分(PI)控制器时存在参数整定困难的问题,本文首先利用模糊控制方法应用于PI控制器以改善其控制性能。然后,利用遗传算法优化模糊PI控制器的比例因子,建立遗传-模糊复合控制器以减少比例因子的整定误差从而进一步提高控制器的性能。最后,依据同步电机的数学模型,应用遗传-模糊复合控制方法构建仿真控制系统。仿真结果表明,本文方法是可行的和有效的。

When a permanent magnet synchronous motor(PMSM) works with a traditional proportional integral(PI) controller, there will be difficulty in parameter tuning. In this paper, therefore, fuzzy control method is first applied to the PI controller to improve its control performance. Then, genetic algorithm is used to optimize the scale factor of the fuzzy PI controller, and a genetic-fuzzy composite controller is set up in order to reduce the error in tuning the scale factor and thus further improve the controller performance. Finally, in light of the mathematical model of the synchronous motor, a simulation control system is constructed by means of the geneticfuzzy composite control.The simulation result suggests that the method herein is both feasible and effective.