小型无人机的Dubins航路点导航

L. Silverberg, D. Xu
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引用次数: 4

摘要

本文考虑了Dubins路径问题的一个变体,并提出了一种改进的航路点导航算法,称为Dubins航路点导航(DWN)。基于Dubins路径问题,开发了一种算法,该算法在三个航路点的范围内实时更新。DWN的目的是克服我们在现有的小型固定翼无人机WN中发现的无法准确到达航路点的问题。这个问题有时会导致高过冲,在风扰动的情况下,它可能会导致车辆错过航路点并在其周围盘旋。为了防止这种情况,DWN会在背景中创建“新的航路点”,称为转弯点。示例说明了在减少燃料和时间的同时,使用DWN算法在瞄准航路点方面实现的WN性能的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dubins Waypoint Navigation of Small-Class Unmanned Aerial Vehicles
This paper considers a variation on the Dubins path problem and proposes an improved waypoint navigation (WN) algorithm called Dubins waypoint navigation (DWN). Based on the Dubins path problem, an algorithm is developed that is updated in real-time with a horizon of three waypoints. The purpose of DWN is to overcome a problem that we find in existing WN for small-class fixed-wing unmanned aerial vehicles (UAV) of not accurately reaching waypoints. This problem results at times in high overshoot and, in the presence of wind disturbances, it can cause a vehicle to miss the waypoint and swirl around it. To prevent this, the DWN creates “new waypoints” that are in the background, called turning points. Examples illustrate the improvement of the performance of WN achieved using the DWN algorithm in terms of the targeting of waypoints while reducing fuel and time.
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