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

Wook Je Park, Sangmin Lee*, Sanghyuk Lee*, T. O. Ting

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationAdvances in Swarm Intelligence - Third International Conference, ICSI 2012, Proceedings
Pages183-191
Number of pages9
EditionPART 2
DOIs
Publication statusPublished - 2012
Event3rd International Conference on Swarm Intelligence, ICSI 2012 - Shenzhen, China
Duration: 17 Jun 201220 Jun 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7332 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Swarm Intelligence, ICSI 2012
Country/TerritoryChina
CityShenzhen
Period17/06/1220/06/12

Keywords

  • Control Surface Stuck
  • Fault Detection and Isolation
  • Similarity Measure

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