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| Maneuvering Trajectory Design for Hypersonic Gliding
Vehicles Based on Analytical Solutions |
| LIU Zhengzhuo1， WANG Wei2， ZHANG Bo1， HE Xiang2， YAN Jie1 |
| 1. Unmanned System Research Institute， Northwestern Polytechnical University， Xi’an 710072， Shaanxi， China；
2. Shanghai Electro-Mechanical Engineering Institute， Shanghai 201109， China |
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Abstract This study delves into the design methodology for typical maneuvering trajectories to enhance the maneuver
penetration capability of hypersonic glide vehicles. Firstly, a high-precision altitude-velocity analytical solution was
derived and used as the foundation for longitudinal trajectory designing. Secondly, based on the altitude and crossrange
analytical solutions, longitudinal and lateral maneuver modes were devised to execute longitudinal skip and lateral
weaving maneuvers. The effects of these modes on the vehicle's overload were analyzed, providing a basis for the
choice of maneuver mode in the practical penetration. By meticulously designing the amplitude, frequency, and phase
of trajectories in both longitudinal and lateral maneuver modes, spatial spiral and pendulum maneuvers were acquired.
Finally, the effectiveness of the maneuver trajectory design method was simulated and verified, presenting high
accuracy and meeting penetration requirements.
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Received: 28 April 2024
Published: 25 July 2024
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| [1] |
SHANG Xi, YANG Gewen, DAI Shaohuai, JIANG Yilin. Research on Resource Allocation Strategy of One-to-Many Radar Jamming Based on Reinforcement Learning[J]. Air & Space Defense, 2022, 5(1): 94-101. |
| [2] |
XIONG Junhui, LI Keyong, LIU Yi, JI Yu. Study on Near Space Defense Technology Development and Penetration Strategy[J]. Air & Space Defense, 2021, 4(2): 82-. |
| [3] |
Wei Liming, Li Xiaolong, Zhao Zheng, Du Sha, Wang Jiuzhou. Application of Neural Network in Penetration of Air-breathing Hypersonic Missile[J]. Air & Space Defense, 2018, 1(2): 14-17. |
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2024, Vol. 7 
