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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3351

Title: Optimised sensor configurations for a Maglev suspension
Authors: Michail, Konstantinos
Zolotas, Argyrios C.
Goodall, Roger M.
Issue Date: 2008
Publisher: © The International Federation of Automatic Control (IFAC)
Citation: MICHAIL, K., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Optimised sensor configurations for a Maglev suspension. IN: 17th IFAC World Congress, July 6-11, Seoul, Korea
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.
Description: This is a conference paper. This is the author’s version of a work that was accepted for publication in the 17th IFAC World Congress 2008.
URI: https://dspace.lboro.ac.uk/2134/3351
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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