Suppr超能文献

用于大型无人机增强航磁补偿的动态参数化与优化飞行路径

Dynamic Parameterization and Optimized Flight Paths for Enhanced Aeromagnetic Compensation in Large Unmanned Aerial Vehicles.

作者信息

Yu Zhentao, Ye Liwei, Ding Can, Chi Cheng, Liu Cong, Cheng Pu

机构信息

Navy Submarine Academy, Qingdao 266000, China.

Qingdao Innovation and Development Center, Harbin Engineering University, Qingdao 266500, China.

出版信息

Sensors (Basel). 2025 May 7;25(9):2954. doi: 10.3390/s25092954.

Abstract

Aeromagnetic detection is a geophysical exploration technology that utilizes aircraft-mounted magnetometers to map variations in the Earth's magnetic field. As a critical methodology for subsurface investigations, it has been extensively applied in geological mapping, mineral resource prospecting, hydrocarbon exploration, and engineering geological assessments. However, the metallic composition of aircraft platforms inherently generates magnetic interference, which significantly distorts the measurements acquired by onboard magnetometers. Aeromagnetic compensation aims to mitigate these platform-induced magnetic disturbances, thereby enhancing the accuracy of magnetic anomaly detection. Building upon the conventional Tolles-Lawson (T-L) model, this study introduces an enhanced compensation framework that addresses two key limitations: (1) minor deformations that occur due to the non-rigidity of the aircraft fuselage, resulting in additional interfering magnetic fields, and (2) coupled interference between geomagnetic field variations and aircraft maneuvers. The proposed model expands the original 18 compensation coefficients to 57 through dynamic parameterization, achieving a 22.41% improvement in compensation efficacy compared with the traditional T-L model. Furthermore, recognizing the operational challenges of large unmanned aerial vehicles (UAVs) in conventional calibration flights, this work redesigns the flight protocol by eliminating high-risk yaw maneuvers and optimizing the flight path geometry. Experimental validations conducted in the South China Sea demonstrate exceptional performance, with the interference magnetic field reduced to 0.0385 nT (standard deviation) during level flight, achieving an improvement ratio (IR) of 4.1688. The refined methodology not only enhances compensation precision but also substantially improves operational safety for large UAVs, offering a robust solution for modern aeromagnetic surveys.

摘要

航空磁力探测是一种地球物理勘探技术,它利用机载磁力仪绘制地球磁场的变化图。作为地下勘探的关键方法,它已广泛应用于地质测绘、矿产资源勘查、油气勘探和工程地质评估。然而,飞机平台的金属成分会固有地产生磁干扰,这会严重扭曲机载磁力仪获取的测量数据。航空磁力补偿旨在减轻这些由平台引起的磁干扰,从而提高磁异常检测的准确性。基于传统的托尔斯 - 劳森(T - L)模型,本研究引入了一个增强的补偿框架,该框架解决了两个关键限制:(1)由于飞机机身的非刚性而发生的微小变形,导致额外的干扰磁场;(2)地磁场变化与飞机机动之间的耦合干扰。通过动态参数化,所提出的模型将原来的18个补偿系数扩展到57个,与传统的T - L模型相比,补偿效果提高了22.41%。此外,认识到大型无人机在传统校准飞行中的操作挑战,这项工作重新设计了飞行协议,消除了高风险的偏航机动并优化了飞行路径几何形状。在南海进行的实验验证显示了出色的性能,平飞期间干扰磁场降至0.0385 nT(标准差),改进率(IR)为4.1688。改进后的方法不仅提高了补偿精度,还大幅提高了大型无人机的操作安全性,为现代航空磁力测量提供了一个强大的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f544/12074396/5de9c7a1c19b/sensors-25-02954-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验