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.
出处
《西南交通大学学报》
EI
CSCD
北大核心
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
