Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System

Konstantinos Michail; Yimin Zhou; Argyrios Zolotas; Roger Goodall; George Halikias

Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System

Konstantinos Michail, Yimin Zhou, Argyrios Zolotas, Roger Goodall, George Halikias

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

Abstract

In many applications, sensor selection in an optimum sense is not a trivial task, especially when a number of objectives and constraints are to be satisfied simultaneously. Moreover, for practical implementation the order of the synthesized controller could be a burden of increased cost and complexity. In this paper, a systematic framework for optimum sensor selection is considered which considers issues of controller reduction. Efficacy of the proposed framework is illustrated via simulations on an Electro-Magnetic Suspension (EMS) system.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference
Editors	J. Chen
Publisher	IEEE
Pages	3595-3600
Number of pages	6
ISBN (Electronic)	9787894631046
ISBN (Print)	9781424462636
Publication status	Published - 20 Sep 2010
Externally published	Yes
Event	29th Chinese Control Conference - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010 Conference number: 29 https://publons.com/journal/125845/proceedings-of-the-29th-chinese-control-conference

Conference

Conference	29th Chinese Control Conference
Abbreviated title	CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10
Internet address	https://publons.com/journal/125845/proceedings-of-the-29th-chinese-control-conference

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@inproceedings{d16b0f574db64f32bcf36d71d384746d,

title = "Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System",

abstract = "In many applications, sensor selection in an optimum sense is not a trivial task, especially when a number of objectives and constraints are to be satisfied simultaneously. Moreover, for practical implementation the order of the synthesized controller could be a burden of increased cost and complexity. In this paper, a systematic framework for optimum sensor selection is considered which considers issues of controller reduction. Efficacy of the proposed framework is illustrated via simulations on an Electro-Magnetic Suspension (EMS) system.",

keywords = "Controller order reduction, EMS systems, H∞Robust Control, Sensor optimisation",

author = "Konstantinos Michail and Yimin Zhou and Argyrios Zolotas and Roger Goodall and George Halikias",

year = "2010",

month = sep,

day = "20",

language = "English",

isbn = "9781424462636",

pages = "3595--3600",

editor = "J. Chen",

booktitle = "Proceedings of the 29th Chinese Control Conference",

publisher = "IEEE",

address = "United States",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

url = "https://publons.com/journal/125845/proceedings-of-the-29th-chinese-control-conference",

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TY - GEN

T1 - Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System

AU - Michail, Konstantinos

AU - Zhou, Yimin

AU - Zolotas, Argyrios

AU - Goodall, Roger

AU - Halikias, George

N1 - Conference code: 29

PY - 2010/9/20

Y1 - 2010/9/20

N2 - In many applications, sensor selection in an optimum sense is not a trivial task, especially when a number of objectives and constraints are to be satisfied simultaneously. Moreover, for practical implementation the order of the synthesized controller could be a burden of increased cost and complexity. In this paper, a systematic framework for optimum sensor selection is considered which considers issues of controller reduction. Efficacy of the proposed framework is illustrated via simulations on an Electro-Magnetic Suspension (EMS) system.

AB - In many applications, sensor selection in an optimum sense is not a trivial task, especially when a number of objectives and constraints are to be satisfied simultaneously. Moreover, for practical implementation the order of the synthesized controller could be a burden of increased cost and complexity. In this paper, a systematic framework for optimum sensor selection is considered which considers issues of controller reduction. Efficacy of the proposed framework is illustrated via simulations on an Electro-Magnetic Suspension (EMS) system.

KW - Controller order reduction

KW - EMS systems

KW - H∞Robust Control

KW - Sensor optimisation

UR - http://www.scopus.com/inward/record.url?scp=78650242463&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:78650242463

SN - 9781424462636

SP - 3595

EP - 3600

BT - Proceedings of the 29th Chinese Control Conference

A2 - Chen, J.

PB - IEEE

T2 - 29th Chinese Control Conference

Y2 - 29 July 2010 through 31 July 2010

ER -

Optimised Sensor Configurations with Reduced Order Controllers Applied to an EMS System

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