一种多无人机航迹规划方法、装置、设备及存储介质
By employing multi-objective optimization methods and population generation strategies, the challenge of multi-UAV trajectory planning was solved, achieving safe and efficient trajectory planning and reducing the risks associated with multi-UAV flight.
CN116523158BActive Publication Date: 2026-07-17SHENZHEN UNIV
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN UNIV
- Filing Date
- 2023-04-20
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing technologies cannot effectively plan the optimal flight paths for multiple drones, making it impossible to plan the shortest and safest routes for multiple drones.
Method used
A multi-objective optimization method is adopted. By establishing a multi-UAV trajectory planning problem model, the parent population is initialized, and a offspring population is generated using an offspring generation strategy based on association alignment, manifold embedding distribution alignment, and gradient optimization. Finally, the trajectory map of the multi-UAV is obtained.
Benefits of technology
It improves the path safety of flight path maps, minimizes the path, reduces the risk of crashes and collisions in multi-UAV flights, and improves flight efficiency.
✦ Generated by Eureka AI based on patent content.
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Figure CN116523158B_ABST
Abstract
本发明适用航迹规划技术领域，提供了一种多无人机航迹规划方法、装置、设备及存储介质，该方法包括：当接收到多无人机航迹规划请求时，建立多无人机航迹规划问题模型，根据该模型建立第一任务和第二任务，并初始化这两个任务对应的种群，得到第一父代种群和第二父代种群，对这两个父代种群分别采用预设的子代生成策略来产生子代，得到对应的第一子代种群和第二子代种群，根据两个父代种群和两个子代种群，采用预设的目标种群生成策略得到第一目标种群和第二目标种群，当多无人机航迹规划问题模型的种群迭代次数达到预设的迭代阈值，根据第一目标种群获得多无人机的航迹图，从而提高了规划的航迹图的路径的安全性，且使得该路径最短。
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