基于动态窗口算法的雷暴天气进场段轨迹规划研究

Sci. Program. Pub Date : 2022-01-10 DOI:10.1155/2022/7031928
Li Lu, Chenyu Liu
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引用次数: 2

摘要

动态窗口算法(Dynamic window algorithm, DWA)是一种局部路径规划算法,可以通过速度选择进行避障,获得最优路径,但该算法主要针对固定障碍物进行路径规划。本文在DWA算法的基础上,提出了一种基于时空相关性的改进DWA算法,即时空动态窗口法。在SDWA算法中,提出了一种与障碍物位置和时间相关联的DWA,以达到对移动障碍物进行路径规划的目的。然后,通过设置初始移动障碍物的坐标,识别安全距离,定义障碍物形状,实现基于SDWA模型的雷暴天气下进场段路径规划。最后,通过在实际雷暴天气中设置运动障碍物进行路径规划和选择飞机进近段,验证了该模型的优越性能。结果表明,SDWA在动态环境下具有良好的路径规划性能。它的路径规划结果与实际飞机进行雷暴规避机动非常相似,但具有更平稳和更经济的轨迹。提出的SDWA模型对雷暴天气下的进近段规划具有很大的决策潜力。
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Research on Trajectory Planning in Thunderstorm Weather Based on Dynamic Window Algorithm during Approach Segment
Dynamic window algorithm (DWA) is a local path-planning algorithm, which can be used for obstacle avoidance through speed selection and obtain the optimal path, but the algorithm mainly plans the path for fixed obstacles. Based on DWA algorithm, this paper proposes an improved DWA algorithm based on space-time correlation, namely, space-time dynamic window approach. In SDWA algorithm, a DWA associated with obstacle position and time is proposed to achieve the purpose of path planning for moving obstacles. Then, by setting the coordinates of the initial moving obstacle and identifying safety distance, we can define the shape of the obstacle and the path planning of the approach segment in thunderstorm weather based on the SDWA model was realized. Finally, the superior performance of the model was verified by setting moving obstacles for path planning and selecting the aircraft approach segment in actual thunderstorm weather. The results showed that SDWA has good path-planning performance in a dynamic environment. Its path-planning results were very similar to an actual aircraft performing thunderstorm-avoidance maneuvers, but with more smooth and economical trajectory. The proposed SDWA model had great decision-making potential for approach segment planning in thunderstorm weather.
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