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.
| Original language | English |
|---|---|
| Pages (from-to) | 206-220 |
| Number of pages | 15 |
| Journal | Central European Journal of Engineering |
| Volume | 3 |
| Issue number | 2 |
| Early online date | 11 Apr 2013 |
| DOIs | |
| Publication status | Published - Jun 2013 |
| Externally published | Yes |
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Fallback options for airgap sensor fault of an electromagnetic suspension system. / Michail, Konstantinos; Zolotas, Argyrios C.; Goodall, Roger M.
In: Central European Journal of Engineering, Vol. 3, No. 2, 06.2013, p. 206-220.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fallback options for airgap sensor fault of an electromagnetic suspension system
AU - Michail, Konstantinos
AU - Zolotas, Argyrios C.
AU - Goodall, Roger M.
PY - 2013/6
Y1 - 2013/6
N2 - 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.
AB - 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.
KW - Active suspensions
KW - Airgap sensor fault
KW - Genetic Algorithms
KW - Kalman estimator
KW - Maglev
UR - http://www.scopus.com/inward/record.url?scp=84892365519&partnerID=8YFLogxK
U2 - 10.2478/s13531-012-0060-y
DO - 10.2478/s13531-012-0060-y
M3 - Article
AN - SCOPUS:84892365519
VL - 3
SP - 206
EP - 220
JO - Open Engineering
JF - Open Engineering
SN - 1896-1541
IS - 2
ER -