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  4. Fallback options for airgap sensor fault of an electromagnetic suspension system
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Fallback options for airgap sensor fault of an electromagnetic suspension system

Journal
Central European Journal of Engineering
Date Issued
2013
Author(s)
Michail, Konstantinos  
Zolotas, Argyrios C.  
Goodall, Roger M.  
DOI
10.2478/s13531-012-0060-y
Abstract
The paper presents a method to recover the performance of an electromagnetic suspension under faulty airgap sensor. The proposed control scheme is a combination of classical control loops, a Kalman Estimator and analytical redundancy (for the airgap signal). In this way redundant airgap sensors are not essential for reliable operation of this system. When the airgap sensor fails the required signal is recovered using a combination of a Kalman estimator and analytical redundancy. The performance of the suspension is optimised using genetic algorithms and some preliminary robustness issues to load and operating airgap variations are discussed. Simulations on a realistic model of such type of suspension illustrate the efficacy of the proposed sensor tolerant control method.
Subjects

Maglev

Active suspensions

Airgap sensor fault

Kalman estimator

Genetic algorithms

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Fallback_Options.pdf

Size

876.41 KB

Format

Adobe PDF

Checksum (MD5)

25472f8da9a430e032420bb4ddbb8ac7

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