Volume 37 Issue 6
Jun.  2011
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Jin Xing, Song Hua, Qiu Hongzhuan, et al. Fuzzy parity equation based fault diagnosis approach for PL/INS navigation system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 748-752. (in Chinese)
Citation: Jin Xing, Song Hua, Qiu Hongzhuan, et al. Fuzzy parity equation based fault diagnosis approach for PL/INS navigation system[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 748-752. (in Chinese)

Fuzzy parity equation based fault diagnosis approach for PL/INS navigation system

  • Received Date: 16 Mar 2010
  • Publish Date: 30 Jun 2011
  • A method for multiple faults identification for pseudolite (PL)/ inertial navigation system (INS) tightly coupled navigation system was presented. The failures associated with PL and their modes were analyzed, what is more, fuzzy parity equations were used to identify the PL failure modes. First of all, the PL/INS tightly coupled navigation system was described by a Takagi-Sugeno (T-S) fuzzy model, and then the full de-coupled parity equations were applied to the local linear models. The faults can be detected by the sum of the local residuals and Kalman filter algorithm was used for identifying the parameters of failure modes. Besides, the necessary conditions for parameter identification were given. The simulation results show that, in case of multiple signal faults and multiple types of fault in PL simultaneously, this method can effectively detect them and precisely identify the parameters of failure modes.

     

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