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Fault Detection and Identification of Uninhabited Aerial Vehicle using Similarity Measure

유사측도를 이용한 무인기의 고장진단 및 검출

  • 박욱제 (인하대학교 정보전자공동연구소) ;
  • 이상혁 (인하대학교 정보전자공동연구소)
  • Received : 2011.03.23
  • Accepted : 2011.06.27
  • Published : 2011.06.30

Abstract

It is recognized that the control surface fault is detected by monitoring the value of the coefficients due to the control surface deviation. It is found out the control surface stuck position by comparing the trim value with the reference value. To detect and isolate the fault, two mixed methods apply to the real-time parameter estimation and similarity measure. If the scatter of aerodynamic coefficients for the fault and normal are closing nearly, fault decision is difficult. Applying similarity measure to decide for fault or not, it makes a clear and easy distinction between fault and normal. Low power processor is applied to the real-time parameter estimator and computation of similarity measure.

Keywords

References

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