Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems
Christopher Edwards; Halim Alwi; Chee Pin Tan
International Journal of Applied Mathematics and Computer Science (2012)
- Volume: 22, Issue: 1, page 109-124
- ISSN: 1641-876X
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topChristopher Edwards, Halim Alwi, and Chee Pin Tan. "Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems." International Journal of Applied Mathematics and Computer Science 22.1 (2012): 109-124. <http://eudml.org/doc/208088>.
@article{ChristopherEdwards2012,
abstract = {Sliding mode methods have been historically studied because of their strong robustness properties with regard to a certain class of uncertainty, achieved by employing nonlinear control/injection signals to force the system trajectories to attain in finite time a motion along a surface in the state-space. This paper will consider how these ideas can be exploited for fault detection (specifically fault signal estimation) and subsequently fault tolerant control. It will also describe applications of these ideas to aerospace systems, including piloted flight simulator results associated with the GARTEUR AG16 Action Group on Fault Tolerant Control. The results demonstrate a successful real-time implementation of the proposed fault tolerant control scheme on a motion flight simulator configured to represent the post-failure EL-AL aircraft.},
author = {Christopher Edwards, Halim Alwi, Chee Pin Tan},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {sliding modes; fault detection; fault tolerant control; control allocation},
language = {eng},
number = {1},
pages = {109-124},
title = {Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems},
url = {http://eudml.org/doc/208088},
volume = {22},
year = {2012},
}
TY - JOUR
AU - Christopher Edwards
AU - Halim Alwi
AU - Chee Pin Tan
TI - Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems
JO - International Journal of Applied Mathematics and Computer Science
PY - 2012
VL - 22
IS - 1
SP - 109
EP - 124
AB - Sliding mode methods have been historically studied because of their strong robustness properties with regard to a certain class of uncertainty, achieved by employing nonlinear control/injection signals to force the system trajectories to attain in finite time a motion along a surface in the state-space. This paper will consider how these ideas can be exploited for fault detection (specifically fault signal estimation) and subsequently fault tolerant control. It will also describe applications of these ideas to aerospace systems, including piloted flight simulator results associated with the GARTEUR AG16 Action Group on Fault Tolerant Control. The results demonstrate a successful real-time implementation of the proposed fault tolerant control scheme on a motion flight simulator configured to represent the post-failure EL-AL aircraft.
LA - eng
KW - sliding modes; fault detection; fault tolerant control; control allocation
UR - http://eudml.org/doc/208088
ER -
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Citations in EuDML Documents
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- Abdel-Razzak Merheb, Hassan Noura, François Bateman, Design of passive fault-tolerant controllers of a quadrotor based on sliding mode theory
- Zhaohui Cen, Hassan Noura, Younes Al Younes, Systematic fault tolerant control based on adaptive Thau observer estimation for quadrotor UAVs
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