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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/3526

Title: Sensor optimisation via H∞ applied to a MAGLEV suspension system
Authors: Michail, Konstantinos
Zolotas, Argyrios C.
Goodall, Roger M.
Pearson, John T.
Keywords: H-infinity
Sensor optimisation
Genetic algorithms
MAGLEV vehicles
Issue Date: 2008
Publisher: © World Academy of Science, Engineering and Technology
Citation: MICHAIL, K. ... et al, 2008. Sensor optimisation via H∞ applied to a MAGLEV suspension system. WASET ICCAS 2008 : International Conference on Control, Automation and Systems. Prague, Czech Republic, July 25-27
Abstract: In this paper a systematic method via H∞ control design is proposed to select a sensor set that satisfies a number of input criteria for a MAGLEV suspension system. The proposed method recovers a number of optimised controllers for each possible sensor set that satisfies the performance and constraint criteria using evolutionary algorithms.
Description: This is a conference paper
URI: https://dspace.lboro.ac.uk/2134/3526
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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