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2017 | OriginalPaper | Chapter

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

Authors : Diogo Monteiro, Paulo Rosa, Paulo Oliveira, Carlos Silvestre

Published in: CONTROLO 2016

Publisher: Springer International Publishing

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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.

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Title: Actuator Fault Detection and Isolation Based on Multiple-Model Adaptive Estimation (MMAE)
Authors: Diogo Monteiro
Paulo Rosa
Paulo Oliveira
Carlos Silvestre
Publisher: Springer International Publishing
Book: CONTROLO 2016
Print ISBN: 978-3-319-43670-8

Electronic ISBN: 978-3-319-43671-5

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-43671-5_30