An adaptive unknown input observer for fault detection and isolation of aircraft actuator faults

Hanmin Lee, Steve Snyder, Naira Hovakimyan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method for fault detection and isolation based on linearized aircraft models. A model-matching approach is employed using a bank of adaptive linear unknown input observers (UIOs). The well-known UIO technique allows for the rejection of structured disturbances, while the addition of an adaptive term handles the unknown nonlinearities in the system. Both the observer error and the estimate of the nonlinearity are used in the formation of the residual. Nonlinear aircraft simulations verify the performance of the proposed method.

Original languageEnglish (US)
Title of host publicationAIAA Guidance, Navigation, and Control Conference
DOIs
StatePublished - Feb 28 2014
EventAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Publication series

NameAIAA Guidance, Navigation, and Control Conference

Other

OtherAIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

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ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering

Cite this

Lee, H., Snyder, S., & Hovakimyan, N. (2014). An adaptive unknown input observer for fault detection and isolation of aircraft actuator faults. In AIAA Guidance, Navigation, and Control Conference (AIAA Guidance, Navigation, and Control Conference). https://doi.org/10.2514/6.2014-0266