动态参数化和优化飞行路径,以提高大型无人驾驶飞行器的气磁补偿
Zhentao Yu1, Liwei Ye2, Can Ding3
1Navy Submarine Academy, Qingdao 266000, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
这项研究通过完善托尔斯-劳森模型来增强空气磁力补偿,以减少飞机的磁干扰. 改进的方法提高了地理物理调查的准确性和运行安全性,特别是大型无人飞行器.
科学领域:
- 地质物理学 地质物理学
- 地质物理勘探地质物理勘探
- 地球科学 地球科学 地球科学
背景情况:
- 空磁探测绘制了地球磁场的地图,用于地下调查.
- 飞机平台会引起磁干扰,扭曲测量结果.
- 气磁补偿可以纠正这些平台引起的干扰.
研究的目的:
- 增强传统的托尔斯-劳森 (T-L) 模型用于气磁补偿.
- 解决包括飞机机身变形和机动相关干扰在内的局限性.
- 提高大型无人飞行器 (UAV) 的运营安全和效率.
主要方法:
- 使用动态参数化将T-L模型从18扩展到57个系数.
- 重新设计的飞行协议,以消除无人机校准的危险转动作.
- 优化飞行路径几何学,以改善数据采集.
主要成果:
- 与传统的T-L模型相比,补偿效率提高了22.41%.
- 降低干扰磁场到0.0385nT (标准偏差) 在水平飞行.
- 在实验验证中证明了4.1688的改善比率 (IR).
结论:
- 增强的补偿框架显著提高了空气磁性调查的精度.
- 这种精细的方法提高了大型无人机的操作安全.
- 这为现代空气磁探测提供了强大的解决方案.
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