University of Sussex
Browse

File(s) not publicly available

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 Goodall
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.) 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

Page range

60-65

Presentation Type

  • paper

Event name

Control Automation (MED), 2013 21st Mediterranean Conference on

Event location

Platanias, Chania - Crete, Greece

Event type

conference

Event date

25-28 June 2013

Department affiliated with

  • Engineering and Design Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2013-10-03

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC