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Interval Sliding Mode Observer based Fault Accommodation for Non-minimum Phase LPV Systems with Online Control Allocation

Zhang, Kangkang, Jiang, Bin, Yan, Xinggang, Edwards, Christopher (2019) Interval Sliding Mode Observer based Fault Accommodation for Non-minimum Phase LPV Systems with Online Control Allocation. International Journal of Control, . ISSN 0020-7179. (doi:10.1080/00207179.2019.1687932) (KAR id:78918)

Abstract

This paper proposes an interval sliding mode observer (ISMO) based sliding mode actuator fault accommodation (FA) framework for non-minimum phase linear-parameter-varying (LPV) systems involving online control allocation (CA) problem. Firstly, a specifically designed coordinate transformation is introduced to deal with the non-minimum phase issue. Then, for the transformed system, an ISMO is proposed to estimate the set of admissible values for the states of the faulty LPV systems. It is constructed based on the designed interval bounds for the scheduling-parameter-related uncertainties and fault-related items. The observer is designed by combining the interval observer and the sliding mode observer techniques. A fault-tolerant control (FTC) law with an online CA scheme is subsequently designed by stabilizing the proposed ISMO instead of the original faulty LPV system, which guarantees that the unmeasurable states of the original LPV system converge to zero asymptotically, the measurable outputs converge to zero in finite time, and further, the actual control efforts are allocated to all actuators optimally and satisfy prescribed performance. Finally, a simulation based on the inverter used in China Railway High-speed (CRH) is presented to illustrate the effectiveness of the proposed framework.

Item Type: Article
DOI/Identification number: 10.1080/00207179.2019.1687932
Uncontrolled keywords: Sliding mode, interval observer, fault-tolerant control, control allocation
Subjects: T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Xinggang Yan
Date Deposited: 21 Nov 2019 12:06 UTC
Last Modified: 09 Dec 2022 06:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/78918 (The current URI for this page, for reference purposes)

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