research-article

Sensor fault estimation using LPV sliding mode observers with erroneous scheduling parameters

Authors:

Christopher Edwards,

Halim AlwiAuthors Info & Claims

Volume 101, Issue C

Pages 66 - 77

https://doi.org/10.1016/j.automatica.2018.10.055

Published: 01 March 2019 Publication History

Abstract

This paper proposes a linear parameter-varying sliding mode observer for the purpose of simultaneously estimating the system states and reconstructing sensor faults. Furthermore, some of the measured scheduling parameters are also assumed to be unreliable, and the corresponding values used in the observer are adapted to maintain the performance level of the observer. The adaptive algorithm is driven by the ‘equivalent output error injection’ signal associated with the reduced-order sliding motion. Sufficient conditions are given to ensure asymptotic stability of the state estimation error system, ensuring both the state estimation errors and the estimation errors associated with the scheduling parameters converge to zero. The efficacy of the scheme has been evaluated based upon an industrial high-fidelity aircraft benchmark scenario involving a simultaneous total loss of airspeed and angle of attack measurements.

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Digital Library

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Cited By

Sanjuan ANejjari FSarrate R(2024)Actuator fault estimation using optimization-based learning techniques for linear parameter varying systems with unreliable scheduling parametersEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107247127:PAOnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107247
Hamdi HRodrigues MRabaoui BBraiek N(2021)A Fault Estimation and Fault–Tolerant Control Based Sliding Mode Observer for LPV Descriptor Systems with Time DelayInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2021-001731:2(247-258)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.34768/amcs-2021-0017
Zetina‐Rios IOsorio‐Gordillo GVargas‐Méndez RMadrigal‐Espinosa GAstorga‐Zaragoza C(2021)Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systemsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.322935:5(828-845)Online publication date: 27-Apr-2021
https://dl.acm.org/doi/10.1002/acs.3229
Show More Cited By

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Sensor fault estimation using LPV sliding mode observers with erroneous scheduling parameters

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Published In

cover image Automatica (Journal of IFAC)

Automatica (Journal of IFAC) Volume 101, Issue C

Mar 2019

491 pages

ISSN:0005-1098

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Pergamon Press, Inc.

United States

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Published: 01 March 2019

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Cited By

Sanjuan ANejjari FSarrate R(2024)Actuator fault estimation using optimization-based learning techniques for linear parameter varying systems with unreliable scheduling parametersEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107247127:PAOnline publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107247
Hamdi HRodrigues MRabaoui BBraiek N(2021)A Fault Estimation and Fault–Tolerant Control Based Sliding Mode Observer for LPV Descriptor Systems with Time DelayInternational Journal of Applied Mathematics and Computer Science10.34768/amcs-2021-001731:2(247-258)Online publication date: 1-Jun-2021
https://dl.acm.org/doi/10.34768/amcs-2021-0017
Zetina‐Rios IOsorio‐Gordillo GVargas‐Méndez RMadrigal‐Espinosa GAstorga‐Zaragoza C(2021)Actuator fault estimation based on generalized learning observer for quasi‐linear parameter varying systemsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.322935:5(828-845)Online publication date: 27-Apr-2021
https://dl.acm.org/doi/10.1002/acs.3229
Share Pasand M(2020)Luenberger‐type cubic observers for state estimation of linear systemsInternational Journal of Adaptive Control and Signal Processing10.1002/acs.312534:9(1148-1161)Online publication date: 1-Sep-2020
https://dl.acm.org/doi/10.1002/acs.3125

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