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    基于DG-RRT 的UPV 航迹规划方法

    Trajectory Planning Method for UPV Based on DG-RRT

    • 摘要: 针对存在威胁条件的UPV 航迹规划问题, 提出一种基于深层诱导RRT(Deep Guidance RRT, DG-RRT) 的优化规划算法. 对UPV 的运动性能和复杂威胁环境进行建模, 给出飞行器的性能约束和规避条件; 在传统RRT 的基础上引入深层诱导搜索和航迹优化策略, 构建基于DG-RRT 的UPV 航迹规划方法; 仿真实验结果表明, 所提算法能够有效规避威胁环境, 提高规划速度和航迹平滑度.

       

      Abstract: To solve the trajectory planning problem of UPV in task condition,a new trajectory planning method is proposed based on deep guidance rapid-exploring random tree (DG-RRT) algorithm. Firstly, the particle model of UPV and threat environment model are established. Meanwhile, the performance constraints and threat avoidance conditions of aircraft are given. Then, the trajectory planning method of DG-RRT algorithm is proposed, in which the deep guidance strategy and the optimization strategy are introduced to the traditional RRT. Finally, the simulation results illustrate the e ectiveness of the proposed algorithm.

       

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