Optimised sensor configuration for a Maglev suspension

Konstantinos Michail; Argyrios Zolotas; R. M. Goodall

doi:10.3182/20080706-5-KR-1001.01404

Optimised sensor configuration for a Maglev suspension

Konstantinos Michail, Argyrios Zolotas, R. M. Goodall

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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 language	English
Title of host publication	Proceedings of the 17th World Congress, International Federation of Automatic Control
Publisher	Elsevier
Pages	8305-8310
Number of pages	6
Volume	41
Edition	2
ISBN (Print)	9783902661005
DOIs	https://doi.org/10.3182/20080706-5-KR-1001.01404
Publication status	Published - 2008
Externally published	Yes
Event	17th World Congress, International Federation of Automatic Control - Seoul, Korea, Republic of Duration: 6 Jul 2008 → 11 Jul 2008 Conference number: 17

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Publisher	Elsevier
Number	2
Volume	41
ISSN (Print)	1474-6670

Conference

Conference	17th World Congress, International Federation of Automatic Control
Abbreviated title	IFAC2008
Country/Territory	Korea, Republic of
City	Seoul
Period	6/07/08 → 11/07/08

Access to Document

10.3182/20080706-5-KR-1001.01404Licence: Other

Cite this

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title = "Optimised sensor configuration for a Maglev suspension",

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.",

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Michail, K, Zolotas, A & Goodall, RM 2008, Optimised sensor configuration for a Maglev suspension. in Proceedings of the 17th World Congress, International Federation of Automatic Control. 2 edn, vol. 41, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 2, vol. 41, Elsevier, pp. 8305-8310, 17th World Congress, International Federation of Automatic Control, Seoul, Korea, Republic of, 6/07/08. https://doi.org/10.3182/20080706-5-KR-1001.01404

Optimised sensor configuration for a Maglev suspension. / Michail, Konstantinos; Zolotas, Argyrios; Goodall, R. M.

Proceedings of the 17th World Congress, International Federation of Automatic Control. Vol. 41 2. ed. Elsevier, 2008. p. 8305-8310 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 41, No. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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ER -

Optimised sensor configuration for a Maglev suspension

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