WA-LPA*: An Energy-Aware Path-Planning Algorithm for UAVs in Dynamic Wind Environments

作者：Fangjia Lian, Bangjie Li, Qisong Yang, Hongwei Zhu, Desong Du · 发表于：Drones · 年份：2025 · DOI：10.3390/drones9120850 · 被引用次数：3 · 研究领域：Robotic Path Planning Algorithms、UAV Applications and Optimization、Air Traffic Management and Optimization

Energy optimization is crucial for unmanned aerial vehicle (UAV) path planning, particularly in complex wind-field environments. Most existing path-planning algorithms rely on simplified energy consumption models, which often fail to adequately capture the effects of wind fields. To address this limitation, a wind-adaptive lifelong planning A* algorithm (WA-LPA*) is proposed for energy-aware path planning in dynamic wind environments. WA-LPA* constructs a composite heuristic function incorporating wind-field alignment factors and integrates a hierarchical height-aware optimization strategy. Meanwhile, an adaptive replanning mechanism is designed based on the change characteristics of the wind field. Simulation experiments conducted across representative scenarios demonstrate that, compared to conventional algorithms that neglect wind-field effects, WA-LPA* achieves energy efficiency improvements of 5.9–29.4%.