Abstract
The current research on unguided bomb targeting and launching by unmanned aerial vehicles (UAVs) is very lacking. In this research, referring the basic steps of traditional bomb launching, a basic method of unguided bomb targeting and delivery based on the bombing circle is proposed for UAVs. The model of the aiming error is given, and the algorithm flow of aiming and launching bombs is suggested. Aiming at the difficulty of decision-making of turning angular velocity, an autonomous learning decision-making algorithm based on fuzzy reinforcement learning (RL) is designed, and the fuzzy method and algorithm flow are studied. Simulations are carried out to prove the effectiveness of the method in this paper.
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Jing, X., Ma, Z., Zhang, J., Tao, Z. (2023). Research on Autonomous Targeting Algorithm of UAV Ground Attack Based on Bombing Circle and Fuzzy Reinforcement Learning. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_706
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DOI: https://doi.org/10.1007/978-981-19-6613-2_706
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