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A layered approach to design autopilots

机译:设计自动驾驶仪的分层方法

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UAVs (Unmanned Aerial Vehicles) have been used for several applications which include re mote sensing and atmospheric data monitoring. These aircraft have had major improvements taking advantage of the miniaturization of electronic components and modules such as GPS receivers, digital cameras, wireless communication equipment and sensors. The main component in this class of vehicles is the autopilot, a module with the capability to control the aircraft and keep it in a predefined route. The absence of a human pilot allows a reduction of costs and enables its use for missions that would normally be too risky to be performed by a human being. The project ARARA (Autonomous and Radio-Assisted Reconnaissance Aircraft) aims the development of UAVs for agricultural and environmental monitoring. Its main objective is the replacement of conventional aircraft used to obtain aerial imagery for the monitoring of crops and areas under environmental stress. This paper describes the autopilot used in the aircraft of the ARARA project. It includes a control module and a navigation module, stacked in a layered organization allowing easy evolutive maintenance. This autopilot allows fully autonomous operation of the aircraft and the results so far indicate the usefulness of the adopted approach each time a software improvement is made to the autopilot system.
机译:无人机(无人机)已用于多种应用,包括远程传感和大气数据监视。这些飞机利用电子部件和模块(例如GPS接收器,数码相机,无线通信设备和传感器)的小型化进行了重大改进。此类车辆的主要组件是自动驾驶仪,该模块具有控制飞机并将其保持在预定路线的能力。如果没有人工驾驶员,则可以降低成本,并且可以将其用于通常风险太大,无法由人类执行的任务。 ARARA(自动和无线电辅助侦察飞机)项目旨在开发用于农业和环境监测的无人机。它的主要目的是取代用于获取航空影像以监测环境压力下的农作物和地区的常规飞机。本文介绍了ARARA项目飞机上使用的自动驾驶仪。它包括一个控制模块和一个导航模块,这些模块堆叠在一个分层的组织中,便于进行不断的维护。该自动驾驶仪可以使飞机完全自主运行,并且到目前为止的结果表明,每次对自动驾驶仪系统进行软件改进时,采用的方法都是有用的。

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