Experimental evaluation of the drag curves of small fixed wing UAVs

A. Weishäupl, L. McLay, A. Sóbester
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Abstract

Tight budgets often limit the scope of test campaigns within the development programmes of small uncrewed air vehicles (UAVs). This paper explores a range of combinations of instrumentation suites and protocols for both wind tunnel and flight evaluation, focusing on the key aspect of drawing up the drag curve of the airframe. Through extensive testing of a 5kg maximum take-off mass, fixed wing, twin motor, richly instrumented test platform, we show that automated glides over a range of airspeeds and the slow down manoeuvre are effective ways of determining power-off drag, while estimating thrust from propeller speed, and voltage and current sensing based methods work well for the power-on case. We also seek the most time-efficient and robust mix of the above manoeuvres to yield a given drag curve accuracy level and we find wind condition impacts the manoeuvre makeup of the optimal strategy.
小型固定翼无人机阻力曲线的实验评估
紧张的预算经常限制小型无人驾驶飞行器(uav)发展计划内测试活动的范围。本文探讨了风洞和飞行评估的一系列仪器套件和协议的组合,重点关注了绘制机身阻力曲线的关键方面。通过对5kg最大起飞质量、固定翼、双电机、丰富的仪器测试平台的广泛测试,我们表明,在一定空速范围内的自动滑翔和减速机动是确定断电阻力的有效方法,同时从螺旋桨速度估计推力,基于电压和电流传感的方法在通电情况下工作良好。我们还寻求上述操作的最省时和最稳健的组合,以产生给定的阻力曲线精度水平,我们发现风条件影响最优策略的操作组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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