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Optimised sensor configurations for a Maglev suspension

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posted on 27.05.2008 by Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
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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School

  • Mechanical, Electrical and Manufacturing Engineering

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

Publisher

© The International Federation of Automatic Control (IFAC)

Publication date

2008

Notes

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.

Language

en

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