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 proceedingConference contribution

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 languageEnglish
Title of host publication21st Mediterranean Conference on Control and Automation
EditorsPanos Antsaklis, Kimon Valavanis, Nikos Tsourveloudis, Primo Zingaretti, Luis Moreno
PublisherIEEE
Pages60-65
Number of pages6
ISBN (Electronic)9781479909971
DOIs
Publication statusPublished - 26 Sep 2013
Externally publishedYes
Event21st Mediterranean Conference on Control and Automation - Platanias-Chania, Crete, Greece
Duration: 25 Jun 201328 Jun 2013
Conference number: 21

Conference

Conference21st Mediterranean Conference on Control and Automation
Abbreviated titleMED 2013
CountryGreece
CityPlatanias-Chania, Crete
Period25/06/1328/06/13

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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 (pp. 60-65). [6608699] IEEE. https://doi.org/10.1109/MED.2013.6608699