四旋翼无人机飞行轨迹优化与控制研究
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空军工程大学

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Research on trajectory optimisation of quadcopter UAV based on optimal GD algorithm (gradient descent)
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    摘要:

    当前四旋翼无人机在不同领域的应用较为广泛。但无人机在航线行驶过程中常常会受到障碍的阻碍而导致无人机与预定航线出现偏差。为此研究对无人机轨迹进行优化分析,提出了一种优化梯度下降算法和A*算法结合的新模型,新模型通过梯度下降算法对A*算法进行优化。经试验测试新模型在无人机轨迹优化效果上有明显提升,新模型比传统算法模型位移偏差减低了0.34m,角度偏差减低了0.32rad,避障效率得到提升,可见使用新模型能够有效地提升无人机的飞行效率,避免无人机航道停留,提升航线安全性,并且研究使用的新模型能够有效提升无人机轨迹优化效果,这对今后四旋翼无人机的轨迹优化性能提升有很好的参考价值。

    Abstract:

    Currently, quadrotor UAVs are widely used in different fields. However, UAVs are often hindered by obstacles during route travelling, which leads to the deviation of UAVs from the intended route. For this reason, the study optimises and analyses the trajectory of the UAV, and proposes a new model combining the optimised gradient descent algorithm and the A* algorithm, which optimises the A* algorithm through the gradient descent algorithm. After experimental testing the new model in the UAV trajectory optimisation effect has been significantly improved, the new model than the traditional algorithm model displacement deviation reduced by 0.34m, angular deviation reduced by 0.32rad, obstacle avoidance efficiency has been improved, it can be seen that the use of the new model can effectively improve the efficiency of the flight of the UAV, to avoid the UAV airway stays, to improve the safety of the route and the research uses the new model can effectively improve the UAV trajectory optimisation effect, which is a good reference value for future quadcopter UAV trajectory optimisation performance improvement.

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刘承相,熊俊杰,杨东平,陈巍.四旋翼无人机飞行轨迹优化与控制研究计算机测量与控制[J].,2025,33(7):146-153.

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  • 收稿日期:2024-05-20
  • 最后修改日期:2024-07-02
  • 录用日期:2024-07-03
  • 在线发布日期: 2025-07-16
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