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基于RLKF的无传感器PMSM控制
引用本文:高晓波,薛惠锋,谢红普,张群.基于RLKF的无传感器PMSM控制[J].微特电机,2011,39(10):52-54.
作者姓名:高晓波  薛惠锋  谢红普  张群
作者单位:西北工业大学,陕西西安,710072
摘    要:针对永磁同步电动机无传感器控制中经典扩展卡尔曼滤波器算法计算量大的缺点,设计了一种新的降阶线性卡尔曼滤波器算法。通过数学公式推导分析比较了该算法与经典卡尔曼滤波算法,并在M atlab/S imu link平台下进行了仿真研究,仿真结果表明该算法在线计算量小,能准确估计电机转子位置和转速,参数调整容易,并具有良好的动态特性。

关 键 词:降阶线性卡尔曼滤波  矢量控制  永磁同步电动机

Reduced-Order Linear Kalman Filter Theory in Application of Sensorless Control for PMSMs
GAO Xiao-bo,XUE Hui-feng,XIE Hong-pu,ZHANG Qun.Reduced-Order Linear Kalman Filter Theory in Application of Sensorless Control for PMSMs[J].Small & Special Electrical Machines,2011,39(10):52-54.
Authors:GAO Xiao-bo  XUE Hui-feng  XIE Hong-pu  ZHANG Qun
Affiliation:GAO Xiao-bo,XUE Hui-feng,XIE Hong-pu,ZHANG Qun(Northwestern Polytechnical University,Xi'an 710072,China)
Abstract:A novel sensorless technique based on reduced-order linear Kalman filter(RLKF) algorithm was proposed to solve the drawback of large calculated amount in the EKF based sensorless control on PMSM.Through the investigation into the theory of RLKF and comparison with EKF.Simulink models of the sensorless control system were built.Experimental results prove the proposed RLKF applied in position estimation can cut down calculated amount,easily adjust parameters,and obtain excellent dynamic speed response likewis...
Keywords:reduced-order linear Kalman filter(RLKF)  vector control  PMSM  
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