›› 2009, Vol. 35 ›› Issue (2): 13-17.

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Sensor Fault Identification for A Satellite Navigation System

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

  1. (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

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.

CLC Number: 

  • v448