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Power Management Strategies for Small Electric Fixed Wing UAVs Employed in Natural Resources Mapping

机译:自然资源映射中使用的小型电动固定翼无人机的电源管理策略

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Small Electric fixed-wing unmanned Aerial Vehicles (SE-FW UAVs) constitute a very powerful tool for mapping natural resources because of their numerous capabilities for remote sensing and their low environmental footprint, e.g. emissions and noise. However, mapping extensive areas with this type of UAVs remains as a challenge because of their low performance at high altitudes and harsh environmental conditions, e.g. strong winds, low air density, and low temperature). This work investigates practical strategies to enhance the performance of existing SE-FW UAVs, based on a more efficient management of their battery power, considering that current performance models for battery-powered UAVs do not account for the energy management of the different UAV subsystems such as the avionics or the payload used. Through an analytic and experimental approach the power characteristics of avionics and payloads widely employed in SE-FW UAVs are determined. The parametric and experimental bench tests are based on a commercial UAV, which is currently employed to monitor natural resources. The UAV is equipped with an autopilot system, telemetry, payload for imagery gathering, and a series of sensors for in-flight data acquisition. Furthermore three different payload weights which represents commonly surveillance applications have been evaluated. In this analysis, the influence of the battery electrical parameters such as its capacity, number of cells, and its rate of discharge are assessed to define their impact on UAV performance. The range of operation for these electrical component is defined based on a benchmarking analysis. In addition, volume, mass and stability constraints have been incorporated into the analysis to determine the power architecture that provides maximum endurance and fulfills the operating requirements. Results indicate the effectiveness of increasing the battery capacity for achieving longer endurance. In addition, it is observed the importance of accounting for the power consumtion of each system to have reliable performance calculations. In this regard, it is observed that approximately 50% of the UAV endurance is reduced when avionics and the entire mission energy consumption is considered. Nevertheless, these results are related to the assumptions of constant MTOW and fixed UAV propulsion system scheme. The incorporation of the aforesaid aspects will be examined in future works.
机译:小型电动固定翼无人驾驶飞行器(SE-FW无人机)构成由于遥感其众多的能力和它们的低环境足迹,例如映射自然资源一个非常强大的工具排放和噪音。然而,测绘领域广泛使用这种类型的无人机残骸的一个挑战,因为在高海拔和恶劣的环境条件下的低性能,例如强风,低空气密度,和低的温度)。这项工作探讨切实可行的战略,以加强现有的SE-FW无人机的性能的基础上,他们的电池电力的更有效的管理,考虑到电池供电的无人机没有考虑不同的无人机子系统,能量管理,目前的高性能车型作为航空电子设备或使用的有效载荷。通过分析和实验的方法来确定在SE-FW无人机广泛采用的航空电子设备和有效负载的功率特性。该参数和实验台试验是基于一个商业无人机,这是目前用来监测自然资源。所述UAV装备有自动驾驶系统,遥测,有效载荷收集图像,并且用于飞行数据采集一系列传感器。它代表共同监控应用另外三个不同的有效载荷的重量进行了评价。在这种分析中,该电池的电参数,诸如它的容量,单元的数目,且其放电速率的影响进行评估,以确定它们对UAV性能影响。操作的这些电气部件的范围是基于基准法分析确定。此外,体积,质量和稳定性的约束已被并入分析,以确定功率架构,可提供最大耐力和满足操作要求。结果表明增加用于实现更长的耐力电池容量的效果。此外,观察占每个系统的电力单耗有可靠的性能计算的重要性。在这点上,可以观察到,当航空电子设备和整个任务的能耗被认为是UAV耐力的约50%降低。然而,这些结果都与最大起飞重量不变的假设和固定无人机推进系统方案。的上述方面的结合将在今后的工作进行检查。

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