仿生扑翼无人机建模精度及试验验证研究

Mingyang Huang
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引用次数: 0

摘要

无人机设计的科学进步使无人机能够提供广泛的服务,并以具有各种空气动力学性能的不同无人机为基础。然而,迄今为止的研究大多局限于常规无人机。仿生无人机等非传统无人机因其精确的点可达性、高度机动性和无地形限制的着陆优势而备受关注。为了对仿生无人机的飞行动力学进行建模,建模精度是需要确定的关键指标;因此,需要进一步分析。在回顾了以往的研究之后,本文通过使用适当的方法来减少误差,开发了一个更准确的模型。为了反映仿生无人机的扑动模式,该模型采用了先进的数值方法(即准稳态模型)来计算其空气动力学。空气动力学也受到风(作用于无人机)的影响,通过风产生的升力和阻力项确定。因此,本文开发了一个适用于仿生无人机(包括扑翼无人机)的气动和风的组合模型,其贡献如下。对比分析发现,无人机的区别在于非定常流动;因此,为气流建模建立了一个严格的物理模型,其新颖之处在于采用准稳态方法来真实地量化无人机的空气动力学和风的影响。该模型通过一个与新型扑翼无人机运动相关的最严格应用的有效案例研究得到了验证。对该无人机进行了运动仿真,建立了三维工程样机进行飞行试验验证。实施了该案例研究,并量化了精度方面的建模性能,验证了基于迄今为止的研究,新模型提高了建模精度。
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Research on modelling accuracy and test validation for biomimetic flapping-wing drone

Scientific advances in drone design have enabled a wide range of services, underpinned by different drones that have various aerodynamic performance. However, research to date is mostly limited focusing on conventional drones. Unconventional drones such as biomimetic drones attracted much attention due to their advantages, including precise point accessibility, altitude manoeuvrability, and no topography restriction for landing. To model the flight dynamics for biomimetic drones, the modelling accuracy is the key indicator to be determined; thus, it requires further analysis. After reviewing previous research, this paper develops a more accurate model by using appropriate methods for error mitigation. To reflect the flapping pattern of biomimetic drones, this model adopts an advanced numerical method (i.e., a quasi-steady model) to calculate their aerodynamics. The aerodynamics is also affected by the wind (acting on the drone), determined via wind-generated lift and drag terms. Therefore, this paper develops a combined aerodynamic and wind model applicable to biomimetic drones including flapping-wing drones with the following contributions. Comparative analysis discovers that the difference of drones is unsteady flows; thus, a rigorous physical model is built for flow modelling, and its novelty is a quasi-steady method to realistically quantify drone aerodynamics and wind influence. This model is demonstrated by a valid case study of the most stringent application in relation to the motion of a novel flapping-wing drone. The motion simulation of such drone is performed, and then a three-dimensional engineering prototype is built for flight test validation. This case study is implemented and the modelling performance in terms of accuracy is quantified, validating that the new model increases modelling accuracy based on research to date.

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