Optimised sensor configuration for a Maglev suspension

Konstantinos Michail, Argyrios Zolotas, R. M. Goodall

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper discusses a systematic approach for selecting the minimum number of sensors for an Electromagnetic levitation system that satisfies both deterministic and stochastic performance objectives. The controller tuning is based upon the utilisation of a recently developed genetic algorithm, namely NSGAII. Two controller structures are discussed, an inner loop classical solution for illustrating the efficacy of the NSGAII tuning and a Linear quadratic gaussian structure particularly on sensor optimization.

Original languageEnglish
Title of host publicationProceedings of the 17th World Congress, International Federation of Automatic Control
PublisherElsevier
Pages8305-8310
Number of pages6
Volume41
Edition2
ISBN (Print)9783902661005
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event17th World Congress, International Federation of Automatic Control, IFAC - Seoul, Korea, Republic of
Duration: 6 Jul 200811 Jul 2008

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
PublisherElsevier
Number2
Volume41
ISSN (Print)1474-6670

Conference

Conference17th World Congress, International Federation of Automatic Control, IFAC
CountryKorea, Republic of
CitySeoul
Period6/07/0811/07/08

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Cite this

Michail, K., Zolotas, A., & Goodall, R. M. (2008). Optimised sensor configuration for a Maglev suspension. In Proceedings of the 17th World Congress, International Federation of Automatic Control (2 ed., Vol. 41, pp. 8305-8310). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 41, No. 2). Elsevier. https://doi.org/10.3182/20080706-5-KR-1001.01404