Multi-Eye Guidance Method for UAVs Path Following

Jeffrey Xu, Thomas Le Pichon, S. Keshmiri
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引用次数: 1

Abstract

Improving upon L1 and L2+ guidance laws, this paper introduces a novel solution to the issue of overshoot and sudden acceleration changes in unmanned aerial vehicles (UAVs) during in complex missions (e.g. collision avoidance maneuvers) and/or when it is in tight turns. Nonlinear multi-eye guidance law tracks multiple reference points at once instead of single point tracking, introduced in L1 and L2+ guidance laws. Multi-eye tracking requires the aircraft follow multiple reference points, each at difference distances from the aircraft, which will allow UAVs to anticipate turns sooner with the farther reference points, while being kept stable with the shorter reference points. This method eliminates the need to use switching distance at corners when using to prevent overshoots. The results of this paper show that multi-eye guidance is a robust method giving UAVs capabilities to perform complex missions.
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无人机路径跟踪的多眼制导方法
本文在改进L1和L2+制导律的基础上,针对无人机在复杂任务(如避碰机动)和/或急转弯时的超调和突然加速度变化问题,提出了一种新的解决方案。在L1和L2+制导律中引入了非线性多眼制导律,同时跟踪多个参考点,而不是单点跟踪。多眼跟踪要求飞行器跟随多个参考点,每个参考点与飞行器的距离不同,这将允许无人机在距离较远的参考点上更快地预测转弯,同时在距离较短的参考点上保持稳定。这种方法消除了在拐角处使用切换距离来防止超调的需要。研究结果表明,多眼制导是一种鲁棒的方法,可使无人机具备执行复杂任务的能力。
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