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arXiv 1809.02472eess.SYcs.ROcs.SY

多旋翼无人机电推进系统分析设计优化方法

An Analytical Design Optimization Method for Electric Propulsion Systems of Multicopter UAVs with Desired Hovering Endurance

Beihang University(北京航空航天大学)

Xunhua Dai, Quan Quan, Jinrui Ren, Kai-Yuan Cai

AI总结:

本文提出了一种简单实用的方法,帮助设计师根据给定的设计要求找到最优的推进系统,通过研究四个基本组件的建模方法,将整体优化设计问题分解为多个子问题,从而获得各组件的最佳参数,并快速从相应数据库中确定最优产品。

摘要:

多旋翼无人机在民用和军事领域正变得越来越重要。目前,大多数多旋翼推进系统是通过经验和试错实验设计的,这成本高且效率低。本文提出了一种简单实用的方法,帮助设计师根据给定的设计要求找到最优的推进系统。首先,分别研究了推进系统四个基本组件(螺旋桨、电机、电子调速器和电池)的建模方法。其次,将整体优化设计问题简化并分解为几个子问题。通过解决这些子问题,可以分别获得各组件的最佳参数。最后,基于获得的最佳组件参数,可以快速从相应数据库中确定每个组件的最优产品。实验和统计分析证明了所提方法的有效性。

英文摘要:

Multicopters are becoming increasingly important in both civil and military fields. Currently, most multicopter propulsion systems are designed by experience and trial-and-error experiments, which are costly and ineffective. This paper proposes a simple and practical method to help designers find the optimal propulsion system according to the given design requirements. First, the modeling methods for four basic components of the propulsion system including propellers, motors, electric speed controls, and batteries are studied respectively. Secondly, the whole optimization design problem is simplified and decoupled into several sub-problems. By solving these sub-problems, the optimal parameters of each component can be obtained respectively. Finally, based on the obtained optimal component parameters, the optimal product of each component can be quickly located and determined from the corresponding database. Experiments and statistical analyses demonstrate the effectiveness of the proposed method.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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