不确定风条件下基于trochoid的无人固定翼飞机路径规划

Simon Schopferer, Julian Lorenz, Azarakhsh Keipour, S. Scherer
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引用次数: 10

摘要

机载路径规划是实现安全自主无人飞行的关键能力。最近,有研究表明,在考虑盛行风的情况下,使用trochoid进行转弯段允许运行时有效的路径规划。然而,由于风力条件的变化以及风速和风向估计的不确定性,针对参考风条件优化的路径可能无法对飞机进行跟踪。在这项工作中,我们讨论了如何计算保守的转速限制,并提出了一种新的方法来计算沿滑面转弯段的安全距离,以考虑未知的风速和有界量级的空速成分。这允许规划飞行路径,优化当前预期的风条件,但在飞机遇到不同的风条件时仍然是安全的。我们给出了模拟和飞行试验的结果,这些结果证明了不确定和变化的风条件对具有圆形和滑面转弯段的路径的跟踪性能的影响。结果表明,在盛行风发生显著变化的情况下,利用平面线可以减小路径跟踪误差。此外,所提出的计算安全距离的方法在所有考虑的情况下都保守地过逼近路径偏差。因此,它可以用于在不确定风条件下规划安全路径,而不仅仅依赖于保守的性能限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Path Planning for Unmanned Fixed-Wing Aircraft in Uncertain Wind Conditions Using Trochoids
On-board path planning is a key capability for safe autonomous unmanned flight. Recently, it has been shown that using trochoids for turn segments allows for run-time efficient path planning under consideration of the prevailing wind. However, with varying wind conditions and uncertainty in the estimation of wind speed and direction, paths optimized for a reference wind condition may become infeasible to track for the aircraft. In this work, we discuss how to calculate conservative turn rate limits and we present a novel approach to calculate safety distances along trochoidal turn segments in order to account for an unknown wind speed and airspeed component of bounded magnitude. This allows to plan flight paths that are optimized for the currently expected wind condition but are still safe in case the aircraft experiences different wind conditions. We present results from simulation and flight tests which demonstrate the impact of uncertain and varying wind conditions on the tracking performance of paths with circular and trochoidal turn segments. The results show that trochoids can be used to reduce path tracking errors even if the prevailing wind changes significantly. Furthermore, the proposed method to calculate safety distances conservatively over-approximates path deviations in all considered cases. Thus, it can be used to plan safe paths in the presence of uncertain wind conditions without solely relying on conservative performance limits.
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