Abstract
This paper describes the design of a Takagi-Sugeno-Kang (TSK) fuzzy logic PID pitch angle controller designed by a Genetic Algorithm (GA). The performance of this GA designed fuzzy PID controller is compared to a classic PID controller and an already existing fuzzy controller from the literature. This comparison is done for different points of the flight envelope, from a nominal landing approach to a supersonic cruise and including degraded modes. The proposed GA designed fuzzy PID controller is proved to be as robust as the one from the literature and exhibits slightly better performances in terms of settling time. Moreover, contrary to the fuzzy controller from the literature whose gains are updated according to the pitch and pitch rate values, the proposed fuzzy PID controller uses a single measure: the pitch angle. This controller can thus be used in a fault tolerant control (FTC) system avoiding a critical issue in the case of a failure affecting the pitch rate sensor. Such FTC system is particularly useful for military aircrafts as they may be degraded during their mission.
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Acknowledgements
We would like to thank the CFA Univeristé de Bordeaux for allowing us to participate in this project in the context of our apprenticeship. We are fortunate to be able to count on their support.
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Courcier, B. et al. (2023). Genetic Fuzzy System for Pitch Control on a F-4 Phantom. In: Dick, S., Kreinovich, V., Lingras, P. (eds) Applications of Fuzzy Techniques. NAFIPS 2022. Lecture Notes in Networks and Systems, vol 500. Springer, Cham. https://doi.org/10.1007/978-3-031-16038-7_4
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DOI: https://doi.org/10.1007/978-3-031-16038-7_4
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