Design similarity measure and application to fault detection of lateral directional mode flight system

  • Authors:

  • WookJe Park;Sangmin Lee;Sanghyuk Lee;T. O. Ting

  • Affiliations:

  • Institute for Information and Electronics Research, Inha University, South Korea;Department of Electronic Engineering, Inha University, Nam-Gu, Incheon, Korea;Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China;Department of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou, China

  • Venue:
  • ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
  • Year:
  • 2012

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Abstract

In this work, we first obtained the similarity measures. The obtained similarity measures were designed based on well-known Hamming distance. It was also considered by analyzing the certainty and uncertainty of the fuzzy membership functions. The proposed similarity measure was applied to the fault detection of primary control surface stuck of Uninhabited Aerial Vehicle (UAV). At post-failure control surface, if the UAV has controllable and trimmable using other control surfaces, the UAV is able to fly or returns to the safety region through reconfiguration of the flight control system. By the calculation of similarity measure, result could be applicable with the real-time parameter estimation method. Furthermore, coefficients monitoring make it possible to monitor the occurrence of control surface fault. The obtained result has the advantage of increasing reliability without adding sensors or any additional cost.