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A Robust Actuator Gain Fault Detection and Isolation Scheme

  • Heidar A. Talebi
  • Farzaneh Abdollahi
  • Rajni V. Patel
  • Khashayar Khorasani
Chapter
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 395)

Abstract

In this chapter, a robust fault detection and isolation strategy is presented for actuator gain fault in nonlinear systems. Unlike the FDI scheme introduced in Chapter 4 and many other methods currently exist in the literature, the proposed FDI scheme in this chapter does not rely on the availability of all state measurements.Moreover, the learning rule employed for neural network observer is based on a modified dynamic backpropagation methodology as opposed to static backpropagation which makes the stability analysis of the overall system much more challenging.

Keywords

Fault Detection Actuator Fault Tangent Hyperbolic Function Reaction Wheel Isolation Scheme 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Heidar A. Talebi
    • 1
  • Farzaneh Abdollahi
    • 1
  • Rajni V. Patel
    • 2
  • Khashayar Khorasani
    • 3
  1. 1.Department of Electrical EngineeringAmirkabir University of TechnologyTehranIran
  2. 2.Department of Electrical & Computer EngineeringUniversity of Western OntarioLondonCanada
  3. 3.Department of Electrical & Computer EngineeringConcordia UniversityMontrealCanada

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