电机与控制应用2017，Vol.44Issue(3)：1-5,5.
基于扩展卡尔曼滤波器的电流预测控制
Current Predictive Control Based on Extended Kalman Filter
摘要
Abstract
In order to meet the high performance requirements of the system,high performance permanent magnet synchronous motor servo system required fast response current inner loop.Classical PID control was prone to lag,oscillation and so on.But the traditional predictive control could achieve fast tracking of the command signal without overshoot,which had a strong dependence on the accurate mathematical model of the control object.A predictive control method based on extended Kalman filter was proposed,the extended Kalman filter had the advantages of the estimation and filtering,which reduced the dependence of the predictive control on the mathematical model parameters of the control object.At the same time,compared with PID control,the improved method has realized the fast tracking of the command signal without overshoot,and the dynamic and static performance has been improved,motor at low speed running noise big problem also got a good solution.The experimental results showed that the algorithm was effective and practical.关键词
永磁同步电机/扩展卡尔曼滤波器/预测控制/PID控制Key words
permanent magnet synchronous motor (PMSM)/extended Kalman filter (EKF)/predictive control/PID control分类
信息技术与安全科学引用本文复制引用
李玲瑞,许鸣珠,高旭东..基于扩展卡尔曼滤波器的电流预测控制[J].电机与控制应用,2017,44(3):1-5,5.基金项目
国家自然科学基金面上项目(11372198) （11372198）
河北省教育厅科学技术重点项目(Z9900451) （Z9900451）
