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Robust and simple intelligent observer-based fault estimation and reconstruction for a class of non-linear systems: HIRM aircraft

Published online by Cambridge University Press:  23 March 2016

M.H. Khooban ,
M. Siahi  and
M.-R. Soltanpour
M.H. Khooban*
Affiliation:
Young Researchers and Elite Club, Garmsar Branch, Islamic Azad University, GarmsarIran
M. Siahi
Affiliation:
Department of Electrical Engineering, Garmsar Branch, Islamic Azad University, SemnanIran
M.-R. Soltanpour
Affiliation:
Department of Electrical Engineering, Aeronautical University of Science and Technology, Tehran, Iran
*
[email protected], [email protected]
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Abstract

This paper introduces an observer strategy, namely a Sliding Mode Observer (SMO), to realise the fault detection and estimation of general uncertain non-linear systems. The use of a non-linear observer is considered for monitoring the states of a high incidence research model (HIRM) aircraft system. For a special class of Lipschitz non-linear system, a fault reconstruction scheme is presented where the reconstructed signal can approximate the fault signal to any accuracy. The proposed method is based only on the available plant input-output information and can be calculated online. Moreover, the globally asymptotic stability of the closed-loop system is mathematically proved. Finally, an HIRM aircraft system example is given to illustrate the efficiency of the proposed approach.

Keywords

Sliding mode observerNon-linear systemsState estimationFault reconstructionHIRM Aircraft
Type
Research Article
Information
The Aeronautical Journal , Volume 120 , Issue 1225 , March 2016 , pp. 457 - 472
Copyright
Copyright © Royal Aeronautical Society 2016 

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