Fallback options for airgap sensor fault of an electromagnetic suspension system

Michail, Konstantinos and Zolotas, Argyrios and Goodall, RogerM. (2013) Fallback options for airgap sensor fault of an electromagnetic suspension system. Central European Journal of Engineering, 3 (2). pp. 206-220. ISSN 1896-1541

Full content URL: http://dx.doi.org/10.2478/s13531-012-0060-y

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Fallback options for airgap sensor fault of an electromagnetic suspension system

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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.

Keywords:Maglev, Active suspensions, Airgap sensor fault, Kalman estimator, Genetic Algorithms
Subjects:H Engineering > H660 Control Systems
H Engineering > H100 General Engineering
H Engineering > H332 Rail Vehicle Engineering
H Engineering > H360 Electromechanical Engineering
Divisions:College of Science > School of Engineering
ID Code:15029
Deposited On:24 Sep 2014 09:12

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