Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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FDI considering Two Faults of Inertial Sensors

관성센서의 이중 고장을 고려한 고장 검출 및 분리

  • 김광훈 (서울대학교 전자컴퓨터공학부) ;
  • 박찬국 (서울대학교 기계항공공학부) ;
  • 이장규 (서울대학교 전자컴퓨터공학부)
  • Published : 2004.01.01
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Abstract

Inertial navigation system with hardware redundancy must use FDI(Fault Detection and Isolation) method to remove the influence of faulty sensors. Until now, several FDI methods such as PSA(Parity Space Approach), GLT(Generalized Likelihood ratio Test) and OPT(Optimal Parity vector Test) method are generally used. However, because these FDI methods only consider the situation that the system has one faulty sensor, these methods cannot be directly adapted for the system with two faulty sensors. To solve this problem, in this paper, PSA method is analyzed and based on this result, new FDI method called EPSA is proposed to consider a detection and an isolation of two faulty sensors in inertial navigation system.

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References

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Cited by

  1. Two-Faults Detection and Isolation Using Extended Parity Space Approach vol.7, pp.3, 2012, https://doi.org/10.5370/JEET.2012.7.3.411