现代电子技术2016，Vol.39Issue(20)：15-19,5.DOI:10.16652/j.issn.1004-373x.2016.20.005
基于多渐消因子强跟踪SRUKF的故障参数辨识
Fault parameter identification based on multiple fading factors strong tracking SRUKF
摘要
Abstract
To solve the problem of nonlinear system fault parameter estimation,the multiple fading factors strong tracking square root unscented Kalman filter(MST⁃SRUKF)algorithm is proposed. The multiple fading factors are introduced into covari⁃ance matrix square root by means of MST⁃SRUKF. Then the fading factor computational formula suitable for square root unscent⁃ed Kalman filter(SRUKF)is deduced to adjust the gain matrix in SRUKF in real time to ensure filter accuracy when the model has big error or changes abruptly. The experiment result shows that,compared with SRUKF and strong tracking unscented Kal⁃man filter(STUKF),the MST⁃SRUKF has higher estimation accuracy of fault parameter.关键词
强跟踪滤波/故障参数/平方根无迹卡尔曼滤波/非线性系统Key words
strong tracking filter/fault parameter/square root unscented kalman filter/nonlinear system分类
信息技术与安全科学引用本文复制引用
贾小刚..基于多渐消因子强跟踪SRUKF的故障参数辨识[J].现代电子技术,2016,39(20):15-19,5.基金项目
武警新型装备维修保障研究(WJZZ2015206) （WJZZ2015206）
