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Sliding mode observers for robust fault estimation in linear parameter varying systems

Chen, Lejun; Edwards, Christopher; Alwi, Halim; Sato, Masayuki; Nateghi, Shamila; Shtessel, Yuri; (2022) Sliding mode observers for robust fault estimation in linear parameter varying systems. International Journal of Robust and Nonlinear Control 10.1002/rnc.6307. (In press). Green open access

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Abstract

A linear parameter varying sliding mode fault reconstruction scheme is proposed. Compared with other conventional sliding mode observer designs, the estimate emerges quite naturally from the equations governing the sliding motion, and although the process may be viewed as a filtering of the discontinuous injection, there is no phase lag introduced in the process. A semi-analytic solution to the proposed linear parameter varying sliding mode observer is first discussed. This motivates the structure of the linear matrix inequality formulation which is proposed, and clarifies the class of systems to which the approach is applicable. The linear matrix inequality problem set up minimizes the induced L_{2} gain between the fault estimate and external disturbances, whilst ensuring linear quadratic performance of the underpinning sliding motion. The proposed scheme has been validated using the Japan Aerospace Exploration Agency's Multi-Purpose Aviation Laboratory aircraft-in-the-loop platform to demonstrate the design efficacy.

Type: Article
Title: Sliding mode observers for robust fault estimation in linear parameter varying systems
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/rnc.6307
Publisher version: https://doi.org/10.1002/rnc.6307
Language: English
Additional information: © 2022 The Authors. International Journal of Robust and Nonlinear Control published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: aerospace, fault diagnosis, hardware-in-the-loop testing, linear parameter varying systems, sliding mode observer
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10152982
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