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A Variable Structure Observer for Unknown Input Estimation in Sampled Systems

Orihuela, L. and Yan, Xinggang and Spurgeon, Sarah K. and Rubio, F.R. (2012) A Variable Structure Observer for Unknown Input Estimation in Sampled Systems. In: Proceedings of 2012 UKACC International Conference on Control. IEEE, pp. 601-606. ISBN 978-1-4673-1559-3. E-ISBN 978-1-4673-1560-9. (doi:10.1109/CONTROL.2012.6334698) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:32150)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
http://dx.doi.org/10.1109/CONTROL.2012.6334698

Abstract

This paper considers the design of a variable structure observer for unknown input estimation and/or fault reconstruction in systems where the process measurements are sampled. It is well known that the principle of the equivalent injection signal from the sliding mode domain can be used for reconstruction of unknown inputs but much of the associated theory is predicated on output sampling of infinite frequency. Sample rate may be a physical constraint of the process and the reconstruction properties of such continuous time sliding mode observers degrade under this constraint. This paper explores how a recently developed ultimately bounded stable variable structure discrete time observer can be used for unknown input estimation. The main novelty of the approach is that the design of the observer is written as an optimization problem with linear constraints with the output sampling incorporated explicitly in the model used for observer design. The design methodology is shown to have advantages in terms of reconstruction accuracy when the performance is compared to that of a classical sliding mode observer on a case study.

Item Type: Book section
DOI/Identification number: 10.1109/CONTROL.2012.6334698
Uncontrolled keywords: observers; optimization; design methodology; atmospheric measurements; particle measurements; iron
Subjects: T Technology > TJ Mechanical engineering and machinery > Control engineering
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 12 Nov 2012 15:42 UTC
Last Modified: 16 Nov 2021 10:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/32150 (The current URI for this page, for reference purposes)

University of Kent Author Information

Yan, Xinggang.

Creator's ORCID: https://orcid.org/0000-0003-2217-8398
CReDIT Contributor Roles:

Spurgeon, Sarah K..

Creator's ORCID:
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