Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/3239
Title: Optimised sensor selection for control and fault tolerance: Comparison and some new results
Authors: Michail, Konstantinos 
Zolotas, Argyrios C. 
Goodall, Roger 
Keywords: Control system synthesis
Fault tolerance
Linear quadratic Gaussian control
Optimisation
Sensors
Suspensions
Issue Date: 2013
Publisher: IEEE Xplore
Source: Control & Automation (MED), 2013 21st Mediterranean Conference on , vol., no., pp.60,65, 25-28 June 2013
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.
URI: http://ktisis.cut.ac.cy/jspui/handle/10488/3239
http://hdl.handle.net/10488/3239
ISBN: 978-1-4799-0995-7
DOI: 10.1109/MED.2013.6608699
Rights: IEEE Xplore
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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