Computing and Library Services - delivering an inspiring information environment

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

Metadata only available from this repository.


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: 28 Aug 2021 11:29


Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©