基于混合元启发式算法的多无人机协同三维轨迹规划方法
By combining a hybrid metaheuristic algorithm with collaborative defense strategies and dynamic diversity management, the problems of multiple constraints and dynamic environmental adaptability in UAV trajectory planning are solved, realizing safe and reliable multi-UAV collaborative trajectory planning that meets aviation safety standards and optimizes paths.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ACAD OF CIVIL AVIATION SCI & TECH
- Filing Date
- 2025-12-15
- Publication Date
- 2026-07-17
AI Technical Summary
Existing UAV trajectory planning methods struggle to simultaneously meet multiple constraints such as obstacle avoidance, path optimization, energy consumption control, and communication maintenance in complex 3D environments. Furthermore, they lack a combination of dynamic environmental adaptability and aviation safety standards, resulting in planned trajectories that do not meet practical application requirements.
A multi-UAV collaborative 3D trajectory planning method based on hybrid meta-heuristic algorithm is adopted. It combines collaborative defense strategy, antlion optimized random walk and adaptive weight adjustment, and utilizes hierarchical flight protection zone and dynamic diversity management to construct a multi-objective cost function that includes path length, threat avoidance, path smoothing and energy consumption, so as to realize the embedding of dynamic obstacle handling and aviation safety standards.
Efficient and safe multi-UAV collaborative trajectory planning was achieved in complex 3D environments, meeting international aviation safety standards, improving trajectory adaptability and robustness, reducing computational complexity and collision risk, and enhancing path optimization performance.
Smart Images
Figure CN121680423B_ABST