S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Mechanical Aerospace Engineering (기계항공공학부) Journal Papers (저널논문_기계항공공학부)
관성센서의 이중 고장을 고려한 고장 검출 및 분리 : FDI considering Two Faults of Inertial Sensors
- Issue Date
- Journal of Contro, Automation, and Systems Engineering, Vol. 10, No. 1, pp. 1-9
- lnertial 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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