Fault tolerance in networked control systems under intermittent observations
Jean-Philippe Georges; Didier Theilliol; Vincent Cocquempot; Jean-Christophe Ponsart; Christophe Aubrun
International Journal of Applied Mathematics and Computer Science (2011)
- Volume: 21, Issue: 4, page 639-648
- ISSN: 1641-876X
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topJean-Philippe Georges, et al. "Fault tolerance in networked control systems under intermittent observations." International Journal of Applied Mathematics and Computer Science 21.4 (2011): 639-648. <http://eudml.org/doc/208076>.
@article{Jean2011,
abstract = {This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.},
author = {Jean-Philippe Georges, Didier Theilliol, Vincent Cocquempot, Jean-Christophe Ponsart, Christophe Aubrun},
journal = {International Journal of Applied Mathematics and Computer Science},
keywords = {network congestion; fault-tolerant control; fault diagnosis; networked control system; interacting multiple model},
language = {eng},
number = {4},
pages = {639-648},
title = {Fault tolerance in networked control systems under intermittent observations},
url = {http://eudml.org/doc/208076},
volume = {21},
year = {2011},
}
TY - JOUR
AU - Jean-Philippe Georges
AU - Didier Theilliol
AU - Vincent Cocquempot
AU - Jean-Christophe Ponsart
AU - Christophe Aubrun
TI - Fault tolerance in networked control systems under intermittent observations
JO - International Journal of Applied Mathematics and Computer Science
PY - 2011
VL - 21
IS - 4
SP - 639
EP - 648
AB - This paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.
LA - eng
KW - network congestion; fault-tolerant control; fault diagnosis; networked control system; interacting multiple model
UR - http://eudml.org/doc/208076
ER -
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