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Optimised Sensor Configuration for a Maglev Suspension

Michail, Konstantinos, Zolotas, Argyrios and Goodall, Roger M. (2008) Optimised Sensor Configuration for a Maglev Suspension. In: Proceedings of the 17th IFAC World Congress, 2008. International Federation of Automatic Control, pp. 8305-8310. ISBN 9783902661005

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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.

Item Type: Book Chapter
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering
School of Computing and Engineering > Institute of Railway Research
Depositing User: Cherry Edmunds
Date Deposited: 12 Jul 2013 12:10
Last Modified: 28 Aug 2021 19:51


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