Automatic terminal guidance for small fixed-wing unmanned aerial vehicles

IF 4.2 2区 计算机科学 Q2 ROBOTICS Journal of Field Robotics Pub Date : 2022-09-26 DOI:10.1002/rob.22113
Yachao Yang, Jie Li, Chang Liu, Yu Yang, Juan Li, Zhenbei Wang, Xueyong Wu, Lei Fu, Xiao Xu
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Abstract

The research presented in this article focuses on expanding and deepening the prior research of a low-cost terminal guidance system in a previous paper entitled “Design, implementation and verification of a low-cost terminal guidance system for small fixed-wing UAVs.” An automatic terminal guidance workflow is specially designed for an individual in a small fixed-wing unmanned aerial vehicle (SUAV) swarm. The extended work around the proposed workflow primarily involves upgrading onboard hardware modules to improve sensor accuracy and environmental adaptability, the imaging performance of the seeker, as well as the computational capability of the image processor, applying object detection to replace the human-in-the-loop function and adopting the integral proportional guidance law in the vertical direction to reduce the required overload and obtain a larger impact angle. Furthermore, we conducted several field tests on two types of SUAV against a stationary target on the ground in a field scenario. The experiments have generated valuable onboard image data and SUAV status information, all of which are aligned in the time domain. The only remaining data sets that support the findings of this study are available from the corresponding author. Our study into automatic terminal guidance has yielded a solution of the automatic strap-down monocular terminal guidance problem of individual SUAVs. The field trials of a single SUAV demonstrate the robustness and efficiency of the proposed automatic terminal guidance methodology and lays a foundation for the future SUAVs' cooperative attack test.

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小型固定翼无人机末端自动制导
本文的研究重点是扩展和深化了先前“小型固定翼无人机低成本末制导系统的设计、实现与验证”一文对低成本末制导系统的研究。针对小型固定翼无人机(SUAV)群中的个体,设计了一种末端自动制导工作流程。围绕所提出的工作流程的扩展工作主要包括升级机载硬件模块以提高传感器精度和环境适应性,提高导引头的成像性能以及图像处理器的计算能力,应用目标检测取代人在环功能,在垂直方向上采用积分比例制导律以减少所需过载并获得更大的冲击角。此外,我们在野外场景中对两种类型的SUAV进行了几次针对地面静止目标的现场测试。实验得到了有价值的机载图像数据和无人机状态信息,所有这些数据都在时域上对齐。支持本研究结果的唯一剩余数据集来自通讯作者。通过对自动末制导的研究,提出了一种解决单目无人机捷联式自动末制导问题的方法。单架无人机的现场试验验证了所提出的自动末制导方法的鲁棒性和有效性,为未来无人机的协同攻击试验奠定了基础。
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来源期刊
Journal of Field Robotics
Journal of Field Robotics 工程技术-机器人学
CiteScore
15.00
自引率
3.60%
发文量
80
审稿时长
6 months
期刊介绍: The Journal of Field Robotics seeks to promote scholarly publications dealing with the fundamentals of robotics in unstructured and dynamic environments. The Journal focuses on experimental robotics and encourages publication of work that has both theoretical and practical significance.
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Issue Information Cover Image, Volume 41, Number 8, December 2024 Issue Information Issue Information A CIELAB fusion-based generative adversarial network for reliable sand–dust removal in open-pit mines
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