Control surfaces fault detection and isolation for an Unmanned Aerial Vehicle

François Bateman, Hassan Noura, Mustapha Ouladsine

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper a fault detection and isolation method (FDI) for an Unmanned Aerial Vehicle (UAV) is presented. The proposed method deals with control surface failures while the aircraft is equipped with an autopilot. This method does not require the complete model of the system. Fault detection consists of exciting judiciously actuators and analyzing cross- correlations between measurements. The temporal and frequential properties of the signal are analyzed during transient of the failure. From this point of view, a wavelet analysis has been implemented to isolate the faulty control surfaces.

Original languageEnglish
Pages (from-to)145-150
Number of pages6
JournalInternational Conference on Integrated Modeling and Analysis in Applied Control and Automation
Publication statusPublished - 2007

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Modelling and Simulation

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