北京航空航天大学学报 ›› 2011, Vol. 37 ›› Issue (6): 639-643.

• 论文 • 上一篇    下一篇

基于自适应UKF的敏感器故障诊断算法

胡迪, 董云峰   

  1. 北京航空航天大学 宇航学院, 北京 100191
  • 收稿日期:2010-03-12 出版日期:2011-06-30 发布日期:2011-07-05
  • 作者简介:胡 迪(1984-),男,广西桂林人,博士生,hudibuaa@yahoo.cn.

Sensor fault diagnosis algorithm based on adaptive UKF

Hu Di, Dong Yunfeng   

  1. School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2010-03-12 Online:2011-06-30 Published:2011-07-05

摘要: 针对非线性系统中敏感器测量过程存在异常干扰和出现仪器故障问题,提出一种基于自适应UKF(Unscented Kalman Filtering)的鲁棒故障诊断算法.算法通过新息特性分析引入自适应矩阵对异常干扰和仪器故障建立系统级抑制和部件级诊断.系统级检测将UKF的新息特性通过自适应函数引入状态预测,修正异常值对状态预测值的影响,达到对异常干扰的鲁棒性.部件级检测将新息特性分解成各部件参数的新息特性,建立各自敏感器的自适应矩阵,通过对自适应矩阵的迹进行判断,检测是否发生故障并隔离故障.仿真结果表明,算法对异常值具有较强的鲁棒性,对测量仪器失效造成的故障能够准确地检测并给出故障大小.算法结构简单,计算量小,对工程应用具有较好的参考价值.

Abstract: To the questions of the abnormal values and the instruments failures for the nonlinear sensor measurement systems, a robust fault diagnosis algorithm based on adaptive unscented Kalman filtering (UKF) was proposed. An adaptive matrix was produced according to the innovation of UKF, then a systems- detector and a parts- detector were built which were made use of restraining the abnormal values and diagnosing the instruments- faults respectively. The innovation of UKF was introduced to status prediction by the adaptive function for modifying the error efforts between the abnormal values and status predictive values and achieving the systems- robust, which was called systems- detector. The innovation was separated into the different sensors- parameters to produce adaptive matrix, which was formed the parts- detector. The trace of adaptive matrix was made use of detecting whether a fault or not and isolating the faults. The simulation results show that the algorithm is robust to the abnormal values, and is accurate to detect the faults from the sensor instruments and compute the range of faults at the same time. The structure of the algorithm is simple and less computational load, and is a good reference for engineering application.

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