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A sensor fusion approach to the fault tolerant control of linear parameter varying systems
pp. 76-87
Abstract
In this contribution we propose a fault tolerant control (FTC) scheme to compensate for sensor faults in multisensor fusion-based control of linear parameter varying systems. The scheme consists of a closed-loop system with an estimator-based feedback tracking controller that combines healthy sensor-estimator pairings via a fusion algorithm. Faulty sensors are detected and discarded based on a set separation criterion, which considers both model uncertainty and system disturbances. We ensure the preservation of closed-loop system boundedness for a wide range of sensor fault situations and for the whole domain of plant model uncertainty. To illustrate the performance of the proposed FTC strategy, a flexible joint robotic arm example is presented.
Publication details
Published in:
Randall Marcus (2015) Artificial life and computational intelligence: first Australasian conference, acalci 2015, Newcastle, nsw, India, february 5-7, 2015. proceedings. Dordrecht, Springer.
Pages: 76-87
DOI: 10.1007/978-3-319-14803-8_6
Full citation:
McCloy Ryan J., Seron María M., De Doná José A. (2015) „A sensor fusion approach to the fault tolerant control of linear parameter varying systems“, In: M. Randall (ed.), Artificial life and computational intelligence, Dordrecht, Springer, 76–87.