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Optimised Sensor Configurations For a Maglev Suspension System

Michail, K., Wang, J. and Goodall, Roger M. (2007) Optimised Sensor Configurations For a Maglev Suspension System. Facta Universitatis Series: Mechanics, Automatic Control and Robotics, 6. pp. 169-184. ISSN 0354 – 2009

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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.

Item Type: Article
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering
Depositing User: Cherry Edmunds
Date Deposited: 03 Jun 2013 11:18
Last Modified: 03 Jun 2013 11:18


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