MAGLEV suspensions - A sensor optimisation framework

Konstantinos Michail; Argyrios Zolotas; Roger Goodall; John T. Pearson

doi:10.1109/MED.2008.4602235

MAGLEV suspensions - A sensor optimisation framework

Konstantinos Michail, Argyrios Zolotas, Roger Goodall, John T. Pearson

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

In this paper, a systematic framework for optimised sensor configurations is implemented via H_∞ Loop Shaping Procedure. The optimisation framework, gives the sensor sets that satisfy predefined user criteria and the preset constraints required for the MAGnetic LEVitated suspension performance via evolutionary algorithms. The scheme is assessed via appropriate simulations for its efficacy.

Original language	English
Title of host publication	2008 Mediterranean Conference on Control and Automation
Subtitle of host publication	Conference Proceedings, MED'08
Publisher	IEEE
Pages	1514-1519
Number of pages	6
ISBN (Electronic)	9781424425051
ISBN (Print)	9781424425044
DOIs	https://doi.org/10.1109/MED.2008.4602235
Publication status	Published - 19 Aug 2008
Externally published	Yes
Event	2008 Mediterranean Conference on Control and Automation - Ajaccio-Corsica, France Duration: 25 Jun 2008 → 27 Jun 2008

Conference

Conference	2008 Mediterranean Conference on Control and Automation
Abbreviated title	MED'08
Country/Territory	France
City	Ajaccio-Corsica
Period	25/06/08 → 27/06/08

Access to Document

10.1109/MED.2008.4602235Licence: Unspecified

Cite this

@inproceedings{8ce3ef4913ea47d9a2deb1f2d12ac78d,

title = "MAGLEV suspensions - A sensor optimisation framework",

abstract = "In this paper, a systematic framework for optimised sensor configurations is implemented via H∞ Loop Shaping Procedure. The optimisation framework, gives the sensor sets that satisfy predefined user criteria and the preset constraints required for the MAGnetic LEVitated suspension performance via evolutionary algorithms. The scheme is assessed via appropriate simulations for its efficacy.",

keywords = "Automation, Conferences",

author = "Konstantinos Michail and Argyrios Zolotas and Roger Goodall and Pearson, {John T.}",

year = "2008",

month = aug,

day = "19",

doi = "10.1109/MED.2008.4602235",

language = "English",

isbn = "9781424425044",

pages = "1514--1519",

booktitle = "2008 Mediterranean Conference on Control and Automation",

publisher = "IEEE",

address = "United States",

note = "2008 Mediterranean Conference on Control and Automation, MED'08 ; Conference date: 25-06-2008 Through 27-06-2008",

}

TY - GEN

T1 - MAGLEV suspensions - A sensor optimisation framework

AU - Michail, Konstantinos

AU - Zolotas, Argyrios

AU - Goodall, Roger

AU - Pearson, John T.

PY - 2008/8/19

Y1 - 2008/8/19

N2 - In this paper, a systematic framework for optimised sensor configurations is implemented via H∞ Loop Shaping Procedure. The optimisation framework, gives the sensor sets that satisfy predefined user criteria and the preset constraints required for the MAGnetic LEVitated suspension performance via evolutionary algorithms. The scheme is assessed via appropriate simulations for its efficacy.

AB - In this paper, a systematic framework for optimised sensor configurations is implemented via H∞ Loop Shaping Procedure. The optimisation framework, gives the sensor sets that satisfy predefined user criteria and the preset constraints required for the MAGnetic LEVitated suspension performance via evolutionary algorithms. The scheme is assessed via appropriate simulations for its efficacy.

KW - Automation

KW - Conferences

UR - http://www.scopus.com/inward/record.url?scp=52949142384&partnerID=8YFLogxK

U2 - 10.1109/MED.2008.4602235

DO - 10.1109/MED.2008.4602235

M3 - Conference contribution

AN - SCOPUS:52949142384

SN - 9781424425044

SP - 1514

EP - 1519

BT - 2008 Mediterranean Conference on Control and Automation

PB - IEEE

T2 - 2008 Mediterranean Conference on Control and Automation

Y2 - 25 June 2008 through 27 June 2008

ER -

MAGLEV suspensions - A sensor optimisation framework

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this