燕山大学学报2017，Vol.41Issue(1)：51-55,5.DOI:10.3969/j.issn.1007-791X.2017.01.008
电动汽车永磁同步电机遗传优化鲁棒控制
Robust control of genetic algorithm for permanent magnet synchronous motor used in electric vehicle
摘要
Abstract
Aiming at the problem of vehicle speed tracking of permanent magnet synchronous motor ( PMSM) and load disturbance caused by complex road conditions, a robust genetic optimization controller is designed.The dynamic mathematical model of perma-nent magnet synchronous motor ( PMSM) for electric vehicle is constructed.In order to make electric cars get smaller influence by the interference and superior speed tracking performance, the genetic algorithm is used to optimize the weighting function of the robust H controller.The simulation results show that the controller can guarantee the stability of the whole closed-loop system even if the external disturbance exists.This method can reduce the vehicle speed tracking error and improve the anti-jamming performance and robustness of the whole system.关键词
电动汽车/永磁同步电机/鲁棒H∞控制/遗传算法Key words
electric vehicle/permanent magnet synchronous motor/robust H-infinity control/genetic algorithm分类
信息技术与安全科学引用本文复制引用
胡佳琳,秦哲,臧怀泉,武雪尉..电动汽车永磁同步电机遗传优化鲁棒控制[J].燕山大学学报,2017,41(1):51-55,5.基金项目
国家自然科学基金资助项目(61573304) （61573304）
