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Mission-oriented performance assessment and optimization of electric multirotors

机译：面向任务的绩效评估和电动多风机的优化

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In recent years, the technical advancement of electric propulsion systems has contributed to the growing applicability of multirotor-type unmanned aerial vehicles from personal hobbies to industrial fields. Industrial fields involve various mission profiles comprising several mission-legs, such as hover and forward flight. Thus, enhancing the applicability of multirotors requires them to be designed for specific mission profiles. This paper presents systematic design and analysis methods for realizing the optimum design of multirotors carrying out user-defined missions. To this end, we integrate a newly developed analysis algorithm for the electric propulsion system, which allows accurate performance assessment according to the combination of the components and flight conditions. Further, a practical drag model is developed for the estimation of drag force during forward flight, where the drag force affects the performance of the entire mission. In addition, a frame weight model is proposed to achieve reliable design results in the conceptual design phase. These models and algorithm constitute a design framework named as CLOUDS. Finally, an exemplary optimization problem is formulated and solved for a generic delivery mission profile. The optimal configurations depending on the number of rotors are obtained using Genetic Algorithm. The optimization results clearly demonstrate the necessity and efficacy of the presented methods, algorithm, and models for designing mission-oriented multirotors in the conceptual design phase. (C) 2021 The Author(s). Published by Elsevier Masson SAS.
机译：近年来，电动推进系统的技术进步促进了多电流型无人航空车从个人爱好与工业领域不断增长的适用性。工业领域涉及各种使命曲线，包括若干任务腿，例如悬停和前向飞行。因此，增强了多路电机的适用性需要它们专为特定的任务配置文件而设计。本文提供了系统的设计和分析方法，实现了实现用户定义任务的多电台的最佳设计。为此，我们将新开发的电动推进系统集成了新开发的分析算法，这允许根据组件和飞行条件的组合进行准确的性能评估。此外，开发了实际阻力模型，用于在向前飞行期间估计拖曳力，其中拖曳力影响整个任务的性能。另外，提出了一种帧权重模型，以实现概念设计阶段的可靠设计。这些模型和算法构成名为Clouds的设计框架。最后，为通用传送任务配置文件制定并解决了示例性优化问题。使用遗传算法获得取决于转子数的最佳配置。优化结果清楚地证明了所呈现的方法，算法和模型在概念性设计阶段设计任务导向的多电孔的模型的必要性和功效。 （c）2021提交人。由Elsevier Masson SA出版。

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