卫星导航系统传感器故障识别

空间控制技术与应用 ›› 2009, Vol. 35 ›› Issue (2): 13-17.

卫星导航系统传感器故障识别

刘春娟1，宋华1，2，邱红专1，刘长华3

1北京航空航天大学自动化科学与电气学院，北京 100191；2 空间智能控制技术国家级重点实验室，北京 100190；
3 中国民航飞行学院飞安基地，成都 610000

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-04-25 发布日期:2009-04-25

Sensor Fault Identification for A Satellite Navigation System

LIU Chunjuan1, SONG Hua1,2, QIU Hongzhuan1，LIU Changhua3

(1 School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191，China;
2 National Laboratory of Space Intelligent Control，Beijing 100190,China;
3 Base of Flight Safety， Civil Aviation Flight University of China, Chengdu 610000,China

Received:1900-01-01 Revised:1900-01-01 Online:2009-04-25 Published:2009-04-25

摘要/Abstract

摘要： 传感器是卫星导航系统中的重要部件，其故障的检测和识别对提高系统可靠性具有重要意义。给出了一种基于模糊逻辑的卫星导航系统传感器故障识别方法。首先采用T-S模糊模型描述卫星导航系统，然后应用全解耦奇偶方程的方法进行故障检测，并利用卡尔曼滤波器进行故障参数识别。仿真结果表明，针对导航系统中多个传感器同时发生故障的情况，此方法能有效检测故障，并能准确识别故障参数。

关键词: 卫星导航系统, T-S模糊模型, 传感器故障, 故障识别, 全解耦奇偶方程

Abstract: Sensors are important components in a satellite navigation system, so both fault detection and identification for them are of great significance for the reliability improvement of system. In this paper, a sensor fault identification method based on fuzzy logic for the satellite navigation system is presented. First of all, the satellite navigation system is described by the T-S fuzzy model, and then full de-coupled parity equations are applied to detect faults, and a Kalman filter is used to identify fault parameters. Simulation results show that, in case of multiple sensor faults in the navigation system this method can effectively detect them and accurately identify their parameters.

Key words: Sensors are important components in a satellite navigation system, so both fault detection and identification for them are of great significance for the reliability improvement of system. In this paper, a sensor fault identification method based on fuzzy logic for the satellite navigation system is presented. First of all, the satellite navigation system is described by the T-S fuzzy model, and then full de-coupled parity equations are applied to detect faults, and a Kalman filter is used to identify fault parameters. Simulation results show that, in case of multiple sensor faults in the navigation system this method can effectively detect them and accurately identify their parameters.

中图分类号:

v448

刘春娟1，宋华1，2，邱红专1，刘长华3. 卫星导航系统传感器故障识别[J]. 空间控制技术与应用, 2009, 35(2): 13-17.

LIU Chunjuan1, SONG Hua1,2, QIU Hongzhuan1，LIU Changhua3. Sensor Fault Identification for A Satellite Navigation System[J]. , 2009, 35(2): 13-17.

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