Sensor Optimisation via H∞Applied to a MAGLEV Suspension System

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 constrai...

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Main Authors:	Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall, John T. Pearson
Format:	Default Article
Published:	2009
Subjects:	Mechanical engineering not elsewhere classified H-infinity Sensor optimisation Genetic algorithms MAGLEV vehicles Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/5109
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id	rr-article-9571940
record_format	Figshare
spelling	rr-article-95719402009-01-01T00:00:00Z Sensor Optimisation via H∞Applied to a MAGLEV Suspension System Konstantinos Michail (7122557) Argyrios C. Zolotas (7122554) Roger Goodall (1250520) John T. Pearson (7121711) Mechanical engineering not elsewhere classified H-infinity Sensor optimisation Genetic algorithms MAGLEV vehicles Mechanical Engineering not elsewhere classified 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. 2009-01-01T00:00:00Z Text Journal contribution 2134/5109 https://figshare.com/articles/journal_contribution/Sensor_Optimisation_via_H_Applied_to_a_MAGLEV_Suspension_System/9571940 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified H-infinity Sensor optimisation Genetic algorithms MAGLEV vehicles Mechanical Engineering not elsewhere classified
spellingShingle	Mechanical engineering not elsewhere classified H-infinity Sensor optimisation Genetic algorithms MAGLEV vehicles Mechanical Engineering not elsewhere classified Konstantinos Michail Argyrios C. Zolotas Roger Goodall John T. Pearson Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
description	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.
format	Default Article
author	Konstantinos Michail Argyrios C. Zolotas Roger Goodall John T. Pearson
author_facet	Konstantinos Michail Argyrios C. Zolotas Roger Goodall John T. Pearson
author_sort	Konstantinos Michail (7122557)
title	Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
title_short	Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
title_full	Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
title_fullStr	Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
title_full_unstemmed	Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
title_sort	sensor optimisation via h∞applied to a maglev suspension system
publishDate	2009
url	https://hdl.handle.net/2134/5109
_version_	1797739362477146112

Sensor Optimisation via H∞Applied to a MAGLEV Suspension System

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