小波故障检测在脉冲星组合导航中的应用  

Application Study on Using Wavelet Fault Detection in Integrated Navigation System Based on XNAV

作　　者：范继伟[1] 沈学强[1] 杨成伟[2] 徐兴建[2] 叶波波 

机构地区：[1]东北电力大学自动化工程学院,吉林132000 [2]北京理工大学机电学院,北京100081

出　　处：《兵工自动化》2016年第5期46-50,共5页Ordnance Industry Automation

基　　金：空间科学预先研究项目(XDA04074300);中国博士后科学基金(2015M580998)

摘　　要：为提高基于X射线脉冲星的组合导航系统容错能力,利用小波分析方法进行故障检测,以保证组合导航系统的精度和可靠性。笔者采用X射线脉冲星导航、天文导航和紫外敏感器导航构建组合导航系统,运用小波分析技术对传感器输出信号进行故障诊断,并进行故障隔离和系统重构,最后采用联邦式滤波器进行信息融合,并以火星探测任务为例进行了数学仿真。实验结果表明:该方法能够有效检测相关传感器故障,解决了X射线脉冲星组合导航系统因故障导致的导航结果变差问题,且具有较高的导航精度,提高了脉冲星组合导航系统的容错性能和工程实用价值。In order to improve the fault tolerance capability of the integrated navigation system based on X-ray pulsar navigation（XNAV）, the wavelet method was applied to ensure the accuracy and reliability of the integrated navigation system. The integrated navigation system included XNAV subsystem, celestial navigation subsystem and ultraviolet navigation subsystem. The wavelet technique was used to detect the faults of sensors. If there were a fault in a sensor, the fault one would be isolated from the integrated navigation system. The information fusion was conducted by using federated filter. Results of simulation which was conducted in the Mars exploration orbit demonstrate that this proposed method can find the fault time points of sensors successfully. This method can solve the problem of low accuracy, which is caused by the faults of sensors. Meanwhile, this integrated navigation system can achieve high accurate navigation accuracy and improve the fault tolerance capability and the usable value in engineering.

关 键 词：脉冲星 天文导航 紫外敏感器 小波分析 故障检测 

分 类 号：TP206[自动化与计算机技术—检测技术与自动化装置]