Optimised sensor selection for control and fault tolerance: Comparison and some new results

Konstantinos Michail; Argyrios Zolotas; Roger Goodall

doi:10.1109/MED.2013.6608699

Optimised sensor selection for control and fault tolerance: Comparison and some new results

Konstantinos Michail, Argyrios Zolotas, Roger Goodall

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

Abstract

Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H∞ and H∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.

Original language	English
Title of host publication	21st Mediterranean Conference on Control and Automation
Editors	Panos Antsaklis, Kimon Valavanis, Nikos Tsourveloudis, Primo Zingaretti, Luis Moreno
Publisher	IEEE
Pages	60-65
Number of pages	6
ISBN (Electronic)	9781479909971
DOIs	https://doi.org/10.1109/MED.2013.6608699
Publication status	Published - 26 Sep 2013
Externally published	Yes
Event	21st Mediterranean Conference on Control and Automation - Platanias-Chania, Crete, Greece Duration: 25 Jun 2013 → 28 Jun 2013 Conference number: 21

Conference

Conference	21st Mediterranean Conference on Control and Automation
Abbreviated title	MED 2013
Country/Territory	Greece
City	Platanias-Chania, Crete
Period	25/06/13 → 28/06/13

Access to Document

10.1109/MED.2013.6608699Licence: Unspecified

Cite this

@inproceedings{ce18dce354d44ad0affeb8b132254888,

title = "Optimised sensor selection for control and fault tolerance: Comparison and some new results",

abstract = "Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H∞ and H∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.",

keywords = "Optimization, Fault Tolerance, Fault tolerant systems, Control systems, Energy Management, linear programming, Robustness",

author = "Konstantinos Michail and Argyrios Zolotas and Roger Goodall",

year = "2013",

month = sep,

day = "26",

doi = "10.1109/MED.2013.6608699",

language = "English",

pages = "60--65",

editor = "Panos Antsaklis and Kimon Valavanis and Nikos Tsourveloudis and Primo Zingaretti and Luis Moreno",

booktitle = "21st Mediterranean Conference on Control and Automation",

publisher = "IEEE",

address = "United States",

note = "21st Mediterranean Conference on Control and Automation, MED 2013 ; Conference date: 25-06-2013 Through 28-06-2013",

}

Michail, K, Zolotas, A & Goodall, R 2013, Optimised sensor selection for control and fault tolerance: Comparison and some new results. in P Antsaklis, K Valavanis, N Tsourveloudis, P Zingaretti & L Moreno (eds), 21st Mediterranean Conference on Control and Automation., 6608699, IEEE, pp. 60-65, 21st Mediterranean Conference on Control and Automation, Platanias-Chania, Crete, Greece, 25/06/13. https://doi.org/10.1109/MED.2013.6608699

Optimised sensor selection for control and fault tolerance : Comparison and some new results. / Michail, Konstantinos; Zolotas, Argyrios; Goodall, Roger.

21st Mediterranean Conference on Control and Automation. ed. / Panos Antsaklis; Kimon Valavanis; Nikos Tsourveloudis; Primo Zingaretti; Luis Moreno. IEEE, 2013. p. 60-65 6608699.

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

TY - GEN

T1 - Optimised sensor selection for control and fault tolerance

T2 - 21st Mediterranean Conference on Control and Automation

AU - Michail, Konstantinos

AU - Zolotas, Argyrios

AU - Goodall, Roger

N1 - Conference code: 21

PY - 2013/9/26

Y1 - 2013/9/26

N2 - Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H∞ and H∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.

AB - Optimised sensor selection for control design is a non-trivial task to perform especially if the selection is done with respect to complex control requirements like reliability, optimised performance, robustness and fault tolerance. In this paper, a proposed framework is presented aiming to tackle the aforementioned problem. In this context, a Linear Quadratic Gaussian (LQG) controller is presented and applied to an Electro-Magnetic Suspension (EMS) system. Furthermore, the LQG solution is compared to a Multi-Objective (M.O.) H∞ and H∞ controller design via loop-shaping method using realistic simulations. A particular contribution is the use of Sensor Fault Accommodation Ratio (SFAR) in the LQG scheme providing useful conclusions on the optimised sensor selection for the EMS system. It is concluded that the framework can be extended to other industrial applications.

KW - Optimization

KW - Fault Tolerance

KW - Fault tolerant systems

KW - Control systems

KW - Energy Management

KW - linear programming

KW - Robustness

UR - http://www.scopus.com/inward/record.url?scp=84885230635&partnerID=8YFLogxK

U2 - 10.1109/MED.2013.6608699

DO - 10.1109/MED.2013.6608699

M3 - Conference contribution

AN - SCOPUS:84885230635

SP - 60

EP - 65

BT - 21st Mediterranean Conference on Control and Automation

A2 - Antsaklis, Panos

A2 - Valavanis, Kimon

A2 - Tsourveloudis, Nikos

A2 - Zingaretti, Primo

A2 - Moreno, Luis

PB - IEEE

Y2 - 25 June 2013 through 28 June 2013

ER -

Optimised sensor selection for control and fault tolerance: Comparison and some new results

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this