University of Sussex
Browse
zolotas_ijss_2011.pdf (1.57 MB)

Optimised configuration of sensors for fault tolerant control of an electro-magnetic suspension system

Download (1.57 MB)
journal contribution
posted on 2023-06-08, 13:49 authored by K Michail, A C Zolotas, R M Goodall, J F Whidborne
For any given system the number and location of sensors can affect the closed-loop performance as well as the reliability of the system. Hence, one problem in control system design is the selection of the sensors in some optimum sense that considers both the system performance and reliability. Although some methods have been proposed that deal with some of the aforementioned aspects, in this work, a design framework dealing with both control and reliability aspects is presented. The proposed framework is able to identify the best sensor set for which optimum performance is achieved even under single or multiple sensor failures with minimum sensor redundancy. The proposed systematic framework combines linear quadratic Gaussian control, fault tolerant control and multiobjective optimisation. The efficacy of the proposed framework is shown via appropriate simulations on an electro-magnetic suspension system.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

International Journal of Systems Science

ISSN

0020-7721

Publisher

Taylor & Francis

Issue

10

Volume

43

Page range

1785-1804

Department affiliated with

  • Engineering and Design Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2012-11-20

First Open Access (FOA) Date

2013-09-26

First Compliant Deposit (FCD) Date

2013-09-26

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC