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

Michail, Konstantinos, Zolotas, Argyrios and Goodall, Roger (2013) Optimised sensor selection for control and fault tolerance: comparison and some new results. In: Control Automation (MED), 2013 21st Mediterranean Conference on, 25-28 June 2013, Platanias, Chania - Crete, Greece.

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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.

Item Type: Conference or Workshop Item (Paper)
Keywords: Control systems;Energy management;Fault tolerance;Fault tolerant systems;Linear programming;Optimization;Robustness
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ0212 Control engineering systems. Automatic machinery (General)
Depositing User: Argyrios Zolotas
Date Deposited: 03 Oct 2013 08:02
Last Modified: 03 Oct 2013 08:10
URI: http://sro.sussex.ac.uk/id/eprint/46514
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