A sensor fusion approach to the fault tolerant control of linear parameter varying systems

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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 closedloop 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.

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McCloy, R. J., Seron, M. M., & De Doná, J. A. (2015). A sensor fusion approach to the fault tolerant control of linear parameter varying systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8955, pp. 76–87). Springer Verlag. https://doi.org/10.1007/978-3-319-14803-8_6

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