Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control

Konstantinos Michail; Argyrios C. Zolotas; Roger M. Goodall; George Halikias

doi:10.1109/MED.2011.5983065

Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control

Konstantinos Michail, Argyrios C. Zolotas, Roger M. Goodall, George Halikias

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

5 Citations (Scopus)

Abstract

A systematic framework is presented for optimum sensor selection for control and fault tolerance subject to complex system requirements. The framework combines the well known robust control via loop-shaping design, the fault tolerance control concept and multiobjective optimisation. The framework is tested via realistic simulations on an Electro-Magnetic Suspension system which is a non-linear, unstable and safety-critical system with a set of non-trivial requirements.

Original language	English
Title of host publication	2011 19th Mediterranean Conference on Control and Automation (MED)
Publisher	IEEE
Pages	1112-1117
Number of pages	6
ISBN (Electronic)	9781457701252, 9781457701238
ISBN (Print)	9781457701245
DOIs	https://doi.org/10.1109/MED.2011.5983065
Publication status	Published - 12 Aug 2011
Externally published	Yes
Event	19th Mediterranean Conference on Control and Automation - Corfu, Greece Duration: 20 Jun 2011 → 23 Jun 2011 Conference number: 19

Conference

Conference	19th Mediterranean Conference on Control and Automation
Abbreviated title	MED 2011
Country/Territory	Greece
City	Corfu
Period	20/06/11 → 23/06/11

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10.1109/MED.2011.5983065Licence: Unspecified

Cite this

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title = "Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control",

abstract = "A systematic framework is presented for optimum sensor selection for control and fault tolerance subject to complex system requirements. The framework combines the well known robust control via loop-shaping design, the fault tolerance control concept and multiobjective optimisation. The framework is tested via realistic simulations on an Electro-Magnetic Suspension system which is a non-linear, unstable and safety-critical system with a set of non-trivial requirements.",

keywords = "Medical services, Fault tolerance, Fault tolerant systems, Genetic algorithms, Optimization, Rails, Vehicles",

author = "Konstantinos Michail and Zolotas, \{Argyrios C.\} and Goodall, \{Roger M.\} and George Halikias",

year = "2011",

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doi = "10.1109/MED.2011.5983065",

language = "English",

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booktitle = "2011 19th Mediterranean Conference on Control and Automation (MED)",

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note = "19th Mediterranean Conference on Control and Automation, MED 2011 ; Conference date: 20-06-2011 Through 23-06-2011",

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Michail, K, Zolotas, AC, Goodall, RM & Halikias, G 2011, Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control. in 2011 19th Mediterranean Conference on Control and Automation (MED)., 5983065, IEEE, pp. 1112-1117, 19th Mediterranean Conference on Control and Automation, Corfu, Greece, 20/06/11. https://doi.org/10.1109/MED.2011.5983065

Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control. / Michail, Konstantinos; Zolotas, Argyrios C.; Goodall, Roger M. et al.
2011 19th Mediterranean Conference on Control and Automation (MED). IEEE, 2011. p. 1112-1117 5983065.

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

TY - GEN

T1 - Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control

AU - Michail, Konstantinos

AU - Zolotas, Argyrios C.

AU - Goodall, Roger M.

AU - Halikias, George

N1 - Conference code: 19

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AB - A systematic framework is presented for optimum sensor selection for control and fault tolerance subject to complex system requirements. The framework combines the well known robust control via loop-shaping design, the fault tolerance control concept and multiobjective optimisation. The framework is tested via realistic simulations on an Electro-Magnetic Suspension system which is a non-linear, unstable and safety-critical system with a set of non-trivial requirements.

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KW - Fault tolerance

KW - Fault tolerant systems

KW - Genetic algorithms

KW - Optimization

KW - Rails

KW - Vehicles

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ER -

Optimal Selection for Sensor Fault Tolerant Control of an EMS System via Loop-Shaping Robust Control

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