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

Michail, K. and Zolotas, Argyrios and Goodall, R. M. and Whidborne, J. F. (2012) Optimised configuration of sensors for fault tolerant control of an electro-magnetic suspension system. International Journal of Systems Science, 43 (10). pp. 1785-1804. ISSN 0020-7721

Full content URL: http://dx.doi.org/10.1080/00207721.2011.598959

Documents
__network.uni_staff_S2_jpartridge_zolotas_ijss_2011.pdf
[img]
[Download]
__network.uni_staff_S2_jpartridge_00207721.2011.598959.pdf

Request a copy
[img]
Preview
PDF
__network.uni_staff_S2_jpartridge_zolotas_ijss_2011.pdf - Whole Document

1MB
[img] PDF
__network.uni_staff_S2_jpartridge_00207721.2011.598959.pdf - Whole Document
Restricted to Repository staff only

1MB
Item Type:Article
Item Status:Live Archive

Abstract

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.

Keywords:Optimised sensor configurations, sensor fault tolerance, Electromagnetic suspension, Genetic algorithms, LQG control
Subjects:H Engineering > H650 Systems Engineering
Divisions:College of Science > School of Engineering
Related URLs:
ID Code:23394
Deposited On:19 Jul 2016 11:37

Repository Staff Only: item control page