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CONTROLO 2016 pp 345-357 | Cite as

Actuator Fault Detection and Isolation Based on Multiple-Model Adaptive Estimation (MMAE)

  • Diogo Monteiro
  • Paulo Rosa
  • Paulo Oliveira
  • Carlos Silvestre
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 402)

Abstract

This paper proposes the application of Multiple-Model Adaptive Estimation (MMAE) to the detection and isolation of a broad category of actuator faults. An in-depth study on this methodology is provided, including the study of the asymptotic properties of the model probability signals for a non-discrete uncertainty domain. The design of the bank of filters is tackled by a performance-based design algorithm originally developed for the bi-dimensional additive fault model considered. Simulations are performed using a generic linearized model, enabling the validation of the methodology, and confirming the potentialities of the method for both fault diagnosis and estimation under model uncertainty.

Keywords

Multiple-Model Adaptive Estimation Model-based fault detection and isolation Infinite model adaptive estimation performance 

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Copyright information

© Springer International Publishing Switzerland 2017

Authors and Affiliations

  • Diogo Monteiro
    • 1
  • Paulo Rosa
    • 2
  • Paulo Oliveira
    • 1
  • Carlos Silvestre
    • 3
  1. 1.IST/ISRLisbonPortugal
  2. 2.Deimos EngenhariaLisbonPortugal
  3. 3.ECE-FST/UM, Macao, China, on Leave from ISTLisbonPortugal

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