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Guidance Prediction of Coupling Loop Based on Variable Universe Fuzzy Controller

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Business Intelligence and Information Technology (BIIT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 107))

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Abstract

This paper proposes a guidance prediction system of Landing Signal Officer (LSO) based on variable universe fuzzy logic to ensure the landing safety of carrier-based aircraft. After analyzing safety factors during the landing process, the longitudinal loop’s glideslope deviation and sink rate deviation and the centering deviation and drift rate deviation of the lateral loop are the influencing factors of carrier-based aircraft. The LSO landing guidance system structure and operation characteristics are discussed. Considering the nonlinearity, complexity and fuzziness of decision-making behavior, a variable universe fuzzy system is designed to realize the LSO prediction process. Simulation results show that the improved LSO guidance prediction model presented in this paper can simulate the actual decision-making characteristics of LSO, and the output results of the system conform to the deviation correction effect under the real environment. The obtained results have a certain reference value for instruction decision research, LSO training, and adaptation of carrier and aircraft especially.

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Acknowledgments

This work is supported by the Natural Science Foundation of Heilongjiang Province of China (No. YQ2020G002), University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (No. UNPYSCT-2020212), and Science Foundation of Harbin Commerce University (No. 18XN064).

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Zhao, M., Liu, Y., Li, H., Cao, Y., Zhang, Y., Jin, H. (2022). Guidance Prediction of Coupling Loop Based on Variable Universe Fuzzy Controller. In: Hassanien, A.E., Xu, Y., Zhao, Z., Mohammed, S., Fan, Z. (eds) Business Intelligence and Information Technology. BIIT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-030-92632-8_45

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