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Optimised sensor selection for control and fault tolerance: comparison and some new results
presentation
posted on 2023-06-08, 15:57 authored by Konstantinos Michail, Argyrios Zolotas, Roger GoodallOptimised 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.) H8 and H8 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.
History
Publication status
- Published
External DOI
Page range
60-65Presentation Type
- paper
Event name
Control Automation (MED), 2013 21st Mediterranean Conference onEvent location
Platanias, Chania - Crete, GreeceEvent type
conferenceEvent date
25-28 June 2013Department affiliated with
- Engineering and Design Publications
Full text available
- No
Peer reviewed?
- Yes