Abstract
In view of the high dynamic, uncertain and time-varying characteristics of unmanned combat aerial vehicle (UCAV) air combat situation, a maneuver decision method based on fuzzy reasoning is proposed. Firstly, four advantage factors of angle, distance, speed, and height are established from the air combat scene. Secondly, the fuzzy rules are used to evaluate the air combat situation. The advantage factors representing the air combat situation are input into the fuzzy reasoning machine to adaptively adjust the weight of each factor in the advantage function. As an auxiliary means of maneuver decision-making, the enemy aircraft position prediction model integrating decision-maneuver, sequence-maneuver, and inertial-maneuver is proposed. Finally, simulation results show that the fuzzy reasoning method could guide UCAV to make more targeted maneuver decisions according to the real-time combat situation. The fuzzy reasoning method provides a new solution on improving the UCAV self-decision ability.
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Some or all data, models, or codes that support this study's findings are available from the corresponding author upon reasonable request.
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Acknowledgements
The authors also acknowledge Dr. Hou Yueqi, Dr. Yin Fengchuan, Dr. Wu Xianning, Dr. Lv Zhihu for their sincere support and advice on this research.
Funding
The research described in this paper was financially supported by grants from the National Natural Science Fundation (No.: 61703427).
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Wu, A., Yang, R., Liang, X. et al. Visual Range Maneuver Decision of Unmanned Combat Aerial Vehicle Based on Fuzzy Reasoning. Int. J. Fuzzy Syst. 24, 519–536 (2022). https://doi.org/10.1007/s40815-021-01158-y
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DOI: https://doi.org/10.1007/s40815-021-01158-y