多采样率EKF及其在感应电机转速估计中的应用  

Multirate Extended Kalman Filter and Its Application to Speed Estimation of Induction Motors

作　　者：陆可[1] 肖建[1] 

机构地区：[1]西南交通大学电气工程学院,四川成都610031

出　　处：《西南交通大学学报》2007年第5期620-625,共6页Journal of Southwest Jiaotong University

基　　金：国家自然科学基金(60674057);高等学校博士学科点专项科研基金(20060613003)资助项目

摘　　要：在深入研究EKF算法和多采样率数字控制系统的基础上,建立了多采样率EKF算法,分别推导了其输入和输出算法,并将其应用于感应电机的转速估计中.通过仿真验证了该算法比单采样率扩展Kalm an滤波算法具有更高的信息获取和状态估计能力,并能有效抑止噪声,转速估计误差减小41.7%-87.6%.Based on an analysis on algorithm of extended Kalman filters （EKFs） and multirate digital control systems, a multirate EKF algorithm was proposed, including the input and output algorithms. The algorithms were applied to speed estimation for induction motors. Simulation results reveal that the proposed algorithms have better abilities in information access, state estimation and noise reduction than a singlerate algorithm does, and that the decrease in error is 41.4% to 87.6% compared with the singlerate algorithm.

关 键 词：多采样率数字控制系统 扩展Kalman滤波 感应电机 无速度传感器控制 转速估计 

分 类 号：TM346.2[电气工程—电机] TP273.2[自动化与计算机技术—检测技术与自动化装置]