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To address the increasingly complex dynamic threat environments in modern battlefields and the challenges of traditional path planning methods in meeting the requirements for cooperative stealth penetration by multiple unmanned aerial vehicles, an approach to multi-UAV stealth path optimization based on an improved 3D A* algorithm is proposed. A 3D dynamic environment model incorporating radar and no-fly zones is established. Four evaluation functions are constructed, including UAV mission execution fault tolerance, flight stability, path smoothness and path stealth performance. The weighted sum of these evaluation functions is defined as the multi-UAV 3D path planning efficiency function. On this basis, an optimization model for multi-UAV stealth path planning in 3D dynamic environments is formulated, with the objective of maximizing the multi-UAV 3D stealth path planning efficiency function, while incorporating constraints such as no-fly zones and UAV maneuverability parameters. A two-step solution method based on the improved 3D A* algorithm is employed to solve the optimization model. Simulation results demonstrate that the proposed method significantly improves planning efficiency while ensuring path stealth performance. Compared to the benchmark algorithm, the proposed method achieves a 20% enhancement in global path planning performance and an 85% reduction in computational time, validating its superiority.
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Basic Information:
DOI：10.16358/j.issn.1009-1300.20250114
China Classification Code:V279;E91
Citation Information:
[1]Sun Xuezhang,Shi Chenguang,Wu Zhifeng ,et al.Research on multi-UAV stealth path optimization using an improved 3D A~* algorithm[J].Tactical Missile Technology,2025,No.232(04):150-160.DOI:10.16358/j.issn.1009-1300.20250114.
Fund Information:
国家自然科学基金面上项目(62271247); 国防基础科研计划资助项目(JCKY2021210B004); 航空科学基金(20220055052001); 江苏省自然科学基金优秀青年基金项目(BK20240181); 江苏高校“青蓝工程”; 江淮前沿技术协同创新中心追梦基金(2023-ZM01D001)
2025-08-15
2025-08-15