复杂环境约束下的飞行航路规划研究  

Research on Flight Path Planning Under Complex Environmental Constraints

作　　者：李徐 董伟[1] 杜泽弘 LI Xu;DONG Wei;DU Zehong(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China;Shanghai Electro-Mechanical Engineering Institute,Shanghai 201109,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240 [2]上海机电工程研究所,上海201109

出　　处：《空天防御》2024年第4期99-105,共7页Air & Space Defense

基　　金：国家自然科学基金项目(51975348)。

摘　　要：随着战场环境的日益复杂化,实时、精准的信息获取对于战场决策具有决定性影响。然而,传统的无人机侦察路径规划方法常受限于环境复杂性,难以快速且有效地适应动态变化的战场环境。本文提出了一种基于贝塞尔曲线二次优化的无人机侦察路径规划技术,利用贝塞尔曲线的灵活性和几何特性,结合二次优化算法,能够精确构建适应复杂环境的飞行路径。通过在实验室模拟战场环境中进行飞行实验,验证了该路径规划技术的执行效率和安全性。通过对比试验表明:该技术显著提高了无人机的侦察效率和准确性,有效支持了战场中的快速决策和行动,证明了其在实际应用中的可行性和效果。With battlefields becoming more complex,timely and accurate information acquisition is crucial for decisionmaking.Traditional unmanned aerial vehicle(UAV)reconnaissance path planning methods can no longer adapt to dynamic and complex environments effectively.This study proposed a reconnaissance path planning technique for unmanned aerial vehicles(UAVs)using the optimization of Bézier curves,which can accurately construct flight paths adapted to complex environments by utilizing the flexibility and geometric properties of Bézier curves and combining with the secondary optimization algorithm.The execution efficiency and safety of this path-planning technique were verified in actual flight tests conducted in a simulated battlefield environment.Comparative experiment results show that the proposed technique significantly enhances the efficiency and accuracy of UAV reconnaissance,allowing rapid decision-making and action in battlefields,proving its feasibility and effectiveness in practical applications.

关 键 词：无人机 战场 侦察 轨迹生成 贝塞尔曲线 

分 类 号：V279[航空宇航科学与技术—飞行器设计]