基于等效空间平面的无人飞行器相对姿态估算

Drones Pub Date : 2024-08-08 DOI:10.3390/drones8080383
Hangyu Wang, Shuangyi Gong, Chaobo Chen, Jichao Li
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引用次数: 0

摘要

相对姿态估计的精度是保证无人机自主空中加油(AAR)安全性和稳定性的重要基础,针对这一问题,本文提出了一种基于空间等效平面的无人机相对姿态估计方法。无人机等效为空间多边形平面,根据全球导航卫星系统(GNSS)接收机的测量信息,通过三点法向量和四点到平面距离的最小平方和求解等效多边形平面方程。两个多边形平面的几何中心之间的距离、平面之间的夹角和线之间的夹角方程用于计算无人机的相对姿态信息。最后,利用模拟环境和初始参数进行数值模拟和结果分析。仿真结果表明,在不考虑无人机运动模型的情况下,所提出的方法可以准确估计无人机的相对姿态信息。此外,在存在测量误差的情况下,基于等效三角形平面的相对姿态估计方法可以识别出存在误差的测量点位置,而基于等效四边形平面的相对姿态估计方法具有良好的鲁棒性。仿真结果验证了所提方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Equivalent Spatial Plane-Based Relative Pose Estimation of UAVs
The accuracy of relative pose estimation is an important foundation for ensuring the safety and stability of autonomous aerial refueling (AAR) of unmanned aerial vehicles (UAV), and in response to this problem, a relative pose estimation method of UAVs based on the spatial equivalent plane is proposed in this paper. The UAV is equivalent to a spatial polygonal plane, and according to the measurement information of the Global Navigation Satellite System (GNSS) receivers, the equivalent polygonal plane equation is solved through the three-point normal vector and the minimum sum of squares of the distance from the four points to the plane. The equations of the distance between the geometric centers of the two polygonal planes, the angle between planes, and the angle between lines are used to calculate the relative pose information of the UAVs. Finally, the simulation environment and initial parameters are utilized for numerical simulation and results analysis. The simulation results show that without considering the motion model of the UAV, the proposed method can accurately estimate the relative pose information of the UAVs. In addition, in the presence of measurement errors, the relative pose estimation method based on the equivalent triangle plane can identify the position of the measurement point with the error, and the relative pose estimation method based on the equivalent quadrilateral plane has good robustness. The simulation results verify the feasibility and effectiveness of the proposed method.
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