The Hover Anti-Wind Parallel Algorithm Running in Airborne Computer Which on Rotorcraft Drone

Zan Yang, Jiabin Chen, Weicheng Wang, Lifang Shi
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Abstract

Research and implementation of a parallel algorithm that simultaneously executes other business tasks while high-precision fixed-point hovering indoors and outdoors, which run in the multi-core airborne pilot computer on rotorcraft UA V, and supported by GNSS-RTK or UWB and other positioning technologies. It is mainly used for the situation that business tasks have higher requirements for the positioning point, in this case, if the strong air flow affects the positioning effect, and the flight controller itself cannot correct the position in time, it will affect the business task execution effect or even make the task unable to perform correctly. The algorithm was tested several times in the actual project scenario, and compared with the situation that the algorithm was not used, the average completion rate of business tasks increased from about 84 % to more than 98%, exceeding the lower design limit requirements of this project (96.4%), and in the case of sufficient computing power of the airborne computer, it did not have a significant impact on the original execution rate of the service. The code implemented according to this algorithm currently runs on the multi-core computing equipment outside the flight controller, and does not affect the flight controller to control the attitude of UA V. After large number of actual measurements, no accident such as crashes and collisions caused by this algorithm, its safety is assured.
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在旋翼无人机机载计算机上运行的悬停抗风并行算法
研究并实现了一种在旋翼机UA V多核机载飞行员计算机上运行,以GNSS-RTK或UWB等定位技术为支撑,在室内外高精度定点悬停同时执行其他业务任务的并行算法。主要用于业务任务对定位点要求较高的情况,在这种情况下,如果强气流影响定位效果,而飞控员自身又不能及时校正位置,就会影响业务任务执行效果,甚至使任务无法正确执行。该算法在实际项目场景中进行了多次测试,与不使用该算法的情况相比,业务任务的平均完成率从84%左右提高到98%以上,超过了本项目设计下限要求(96.4%),并且在机载计算机计算能力足够的情况下,对原有服务的执行率没有明显影响。根据该算法实现的代码目前运行在飞控器外的多核计算设备上,不影响飞控器对UA v姿态的控制,经过大量的实际测量,没有因该算法导致的碰撞、碰撞等事故,其安全性得到了保证。
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