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Fuzzy-Flatness Hybrid Fault-Tolerant Control

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Explainable AI and Other Applications of Fuzzy Techniques (NAFIPS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 258))

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Abstract

This paper describes a fuzzy logic controller for fault tolerant control of nonlinear flat systems. The control hybridizes flat reference parameters with a fuzzy logic control regulator to achieve robustness against sensing and effector faults for control of a three-tank system. Two methods of fault tolerant control are presented. One method is passive in that although a control reconfiguration is applied, it is not explicitly attached to the detection of any faults and instead applies a general principle to the problem class. This method applies only a fuzzy logic control regulator to a flatness-derived reference signal. The second method is active and applies a control reconfiguration based on the analysis of residuals taken from the difference between the measured signals and the flat system signals. The feasibility of these approaches are verified for additive and multiplicative faults in a three-tank system.

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Acknowledgements

The author would like to gratefully acknowledge the IMS Laboratory at the University of Bordeaux in Bordeaux, France, where most of this research was carried out. The author would also like to acknowledge the QtFuzzyLite platform which assisted in the fuzzy visualization presented herein.

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Correspondence to Owen Macmann .

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Macmann, O., Cohen, K., Cazaurang, F. (2022). Fuzzy-Flatness Hybrid Fault-Tolerant Control. In: Rayz, J., Raskin, V., Dick, S., Kreinovich, V. (eds) Explainable AI and Other Applications of Fuzzy Techniques. NAFIPS 2021. Lecture Notes in Networks and Systems, vol 258. Springer, Cham. https://doi.org/10.1007/978-3-030-82099-2_24

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