Abstract
Unmanned aerial vehicles (UAVs) have become an important role in modern air combat. Aiming at the requirement that UAVs can autonomously maneuver according to the battlefield information to obtain the advantage of attack position in close-range air combat scenarios, a solution based on the constrained gradient method to solve the optimization guidance index of UAV attack position occupation to control UAV maneuvering is proposed. The UAV kinematic model is used as an algorithm control carrier. According to the actual air combat confrontation situation, it judges whether the distance and angle meet the attack or avoid conditions, and designs corresponding optimization indicators. Based on the input target state information, the constrained gradient method is used to optimize the attack or avoidance indicators. Perform the solution to obtain the guidance instructions, and input the instructions into the corresponding UAV kinematics model to complete the UAV's attack position occupation guidance. According to the engineering application requirements, a typical 1V1 air combat simulation test scenario is established. The simulation results show that the method in this paper can guide the UAV to obtain the advantage of attacking position.
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Bingbing, X., Guanglei, M., Yingnan, W., Runnan, Z. (2022). Guidance Method for UAV to Occupy Attack Position at Close Range. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13457. Springer, Cham. https://doi.org/10.1007/978-3-031-13835-5_64
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DOI: https://doi.org/10.1007/978-3-031-13835-5_64
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