UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory
This paper addresses the challenge of ineffective coordination between terminal maneuvering and precision strike capabilities in hypersonic unmanned aerial vehicles (UAVs). To resolve this issue, an intelligent spiral maneuver trajectory generation method utilizing a virtual trajectory framework is...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Drones |
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| Online Access: | https://www.mdpi.com/2504-446X/9/6/446 |
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| author | Tao Chen Shaopeng Li Yong Xian Leliang Ren Zhenyu Liu |
| author_facet | Tao Chen Shaopeng Li Yong Xian Leliang Ren Zhenyu Liu |
| author_sort | Tao Chen |
| collection | DOAJ |
| description | This paper addresses the challenge of ineffective coordination between terminal maneuvering and precision strike capabilities in hypersonic unmanned aerial vehicles (UAVs). To resolve this issue, an intelligent spiral maneuver trajectory generation method utilizing a virtual trajectory framework is proposed. Initially, a relative motion model between the UAV and the virtual center of mass (VCM) is established based on the geometric principles of the Archimedean spiral. Subsequently, the interaction dynamics between the VCM and the target are formulated as a Markov decision process (MDP). A deep reinforcement learning (DRL) approach, employing the proximal policy optimization (PPO) algorithm, is implemented to train a policy network capable of end-to-end virtual trajectory generation. Ultimately, the relative spiral motion is superimposed onto the generated virtual trajectory to synthesize a composite spiral maneuvering trajectory. The simulation results demonstrate that the proposed method achieves expansive spiral maneuvering ranges while ensuring precise target strikes. |
| format | Article |
| id | doaj-art-862e4003e7b84eefa46c1efa42d19a06 |
| institution | OA Journals |
| issn | 2504-446X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Drones |
| spelling | doaj-art-862e4003e7b84eefa46c1efa42d19a062025-08-20T02:24:25ZengMDPI AGDrones2504-446X2025-06-019644610.3390/drones9060446UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual TrajectoryTao Chen0Shaopeng Li1Yong Xian2Leliang Ren3Zhenyu Liu4College of Missle Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaCollege of Missle Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaCollege of Missle Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaCollege of Missle Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaCollege of Missle Engineering, Rocket Force University of Engineering, Xi’an 710025, ChinaThis paper addresses the challenge of ineffective coordination between terminal maneuvering and precision strike capabilities in hypersonic unmanned aerial vehicles (UAVs). To resolve this issue, an intelligent spiral maneuver trajectory generation method utilizing a virtual trajectory framework is proposed. Initially, a relative motion model between the UAV and the virtual center of mass (VCM) is established based on the geometric principles of the Archimedean spiral. Subsequently, the interaction dynamics between the VCM and the target are formulated as a Markov decision process (MDP). A deep reinforcement learning (DRL) approach, employing the proximal policy optimization (PPO) algorithm, is implemented to train a policy network capable of end-to-end virtual trajectory generation. Ultimately, the relative spiral motion is superimposed onto the generated virtual trajectory to synthesize a composite spiral maneuvering trajectory. The simulation results demonstrate that the proposed method achieves expansive spiral maneuvering ranges while ensuring precise target strikes.https://www.mdpi.com/2504-446X/9/6/446UAV penetrationspiral maneuveringprecise strikesdeep reinforcement learning |
| spellingShingle | Tao Chen Shaopeng Li Yong Xian Leliang Ren Zhenyu Liu UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory Drones UAV penetration spiral maneuvering precise strikes deep reinforcement learning |
| title | UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory |
| title_full | UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory |
| title_fullStr | UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory |
| title_full_unstemmed | UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory |
| title_short | UAV Spiral Maneuvering Trajectory Intelligent Generation Method Based on Virtual Trajectory |
| title_sort | uav spiral maneuvering trajectory intelligent generation method based on virtual trajectory |
| topic | UAV penetration spiral maneuvering precise strikes deep reinforcement learning |
| url | https://www.mdpi.com/2504-446X/9/6/446 |
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