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Optimised sensor configurations for a MAGLEV suspension system

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journal contribution
posted on 03.09.2009, 16:17 by Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
This paper discusses a systematic approach for selecting the minimum number of sensors for an Electromagnetic suspension system that satisfies both optimised deterministic and stochastic performance objectives. The performance is optimised by tuning the controller using evolutionary algorithms. Two controller strategies are discussed, an inner loop classical solution for illustrating the efficacy of the evolutionary algorithm and a Linear Quadratic Gaussian (LQG) structure particularly on sensor optimisation.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

MICHAIL, K., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Optimised sensor configurations for a MAGLEV suspension system. Facta Universitatis Series: Mechanics, Automatic Control and Robotics, 7 (1), pp.169-184.

Publisher

© University of Niš

Version

AM (Accepted Manuscript)

Publication date

2008

Notes

This article was published in the journal, Facta Universitatis Series: Mechanics, Automatic Control and Robotics [© University of Niš]. The original publication is available at: http://facta.junis.ni.ac.rs/macar/macar200801/macar200801-13.html

ISBN

0354–2009

Language

en

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