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Design Process for Micro Air Vehicles

机译:微型飞行器的设计过程

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摘要

Resent evolution in electronics and sensor techniques allowed realization of Micro Air Vehicles (MAY), with commercial of the shelves (COST). In order to obtain an optimal solution regarding the MAV, and due to the complexity and rapid change in electronics, an automatic or semi-automatic design process needs to be developed. This paper will present a semi-automatic design process integrating the electronics, and optimising its placement in the MAV with regards to payload, mission profile and recent developments within electronics and materials. The design will be readjusted when new components are available. The process will also take care of the flying platform itself, regarding the shape, the aerodynamics and the performance. By reducing the human presence in the design process, design time will be reduced For the design of new products, the designer specifies different requirements, such as wingspan, mission profile including endurance, range, and payload specification. The design process will then try to automatically generate the best feasible MAV for this particular mission, based on pre-defined set of available technologies. The search technique for the MAV design is based on genetic algorithms. This design process could also include trend studies of technologies for future improvements of the MAV evolution. As realization of the result of the process if of great importance, it will automatically generate production documents like Computerised Numerical Control (CNC) paths for both the Printed Circuit Board (PCB) layout and wing profile-forming tools. The automatic generation of the control software is also included.
机译:电子技术和传感器技术的最新发展使得微型航空器(MAY)得以实现,同时具有商用货架(COST)。为了获得有关MAV的最佳解决方案,并且由于电子设备的复杂性和快速变化,需要开发一种自动或半自动设计过程。本文将介绍一种半自动设计过程,该过程集成了电子设备,并针对有效载荷,任务概况以及电子设备和材料的最新发展优化了其在MAV中的放置。当有新组件可用时,将重新调整设计。该过程还将考虑飞行平台本身的形状,空气动力学和性能。通过减少设计过程中的人员数量,将减少设计时间。对于新产品的设计,设计人员指定了不同的要求,例如翼展,包括耐用性,范围和有效载荷规格的任务配置文件。然后,设计过程将根据可用技术的预定义集合,尝试为该特定任务自动生成最佳可行的MAV。 MAV设计的搜索技术基于遗传算法。该设计过程还可能包括对MAV进化的未来改进技术的趋势研究。作为实现过程结果的关键,它将自动生成生产文档,例如印刷电路板(PCB)布局和机翼轮廓形成工具的计算机数控(CNC)路径。还包括自动生成的控制软件。

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