基于CKF的永磁同步电机无传感器控制  

PMSM Sensorless Control Based on CKF

作　　者：周博[1] 徐大林[1] 顾兆丹[1] 何勇强[1] 

机构地区：[1]江苏自动化研究所,连云港222006

出　　处：《机电一体化》2013年第12期45-47,65,共4页Mechatronics

摘　　要：永磁同步电机(PMSM)是典型的非线性系统。为提高转速估计精度,提出了将cubature Kalman filter(CKF)方法应用在PMSM无速度传感器控制中。和扩展卡尔曼滤波(EKF)算法相比,CKF无需对系统非线性模型进行线性化处理。其根据spherical-radial cubature准则,通过一些相等权值的cubature点经非线性系统方程转换后产生新的点来给出下一时刻系统状态的预测,不需要对系统模型进行线性化处理。文中在对CKF算法分析的基础上,建立了基于CKF的PMSM无速度传感器控制仿真模型,通过和传统的EKF算法的仿真对比实验,验证了CKF算法的有效性和优越性。Permanent magnet synchronous motor （PMSM） is a typical nonlinear system,to improve the accuracy of speed estimation, this paper presents the cubature Kalman filter （CKF） method in the use of PMSM speed sensor- less control, CKF without linearization for nonlinear system model compared with the extended kalman filtering algo- rithm. It chooses some equal weights of cubature point and converted by nonlinear system equations ,then produces new point to give the state of the system of the next moment according to the spherical-radial cubature rule. It doesn＇t need to be linearized. On the basis of analyzing the CKF algorithm , speed sensorless control simulation model of PMSM was established based on CKF, through the contrast experiment to EKF algorithm, verified the effectiveness and superiority of the CKF algorithm.

关 键 词：扩展卡尔曼滤波 容积卡尔曼滤波 永磁同步电机 无传感器控制 

分 类 号：TM341[电气工程—电机]