从传感器失调中解离补偿精度:用于重力梯度计的概括黑盒模型
Mingbiao Yu1, Yu Liang2, Xiaobing Yu2
1Key Laboratory of Advanced Manufacturing Technology of the Ministry of Education, School of Mechanical Engineering, GuiZhou University, Guiyang 550025, China.
ISA transactions
|March 22, 2025
概括
一个新的黑盒模型可以弥补重力梯度计中的运动误差,提高了无需精确的传感器对齐的精度. 这种方法提高了在动态环境中的性能,用于矿产勘探等应用.
科学领域:
- 地质物理学 地质物理学
- 仪器化 仪器化 仪器化
- 信号处理 信号处理
背景情况:
- 移动基重力梯度计对于矿物勘探和导航至关重要.
- 平台运动引入了重大错误,挑战了补偿的准确性.
- 目前的方法需要精确的传感器对齐,这限制了实际应用.
研究的目的:
- 开发一种新的广义黑模拟方法,用于引力梯度计中的运动误差补偿.
- 为了将补偿精度与传感器安装精度分开.
- 为了提高重力梯度计在动态环境中的强度和实际性能.
主要方法:
- 开发了一个包含传感器错位的通用黑盒模型.
- 该模型利用了梯度计的动态特征和组件行为.
- 在动态环境中进行了数值模拟和实验验证.
主要成果:
- 黑盒模型在模拟中实现了高输出一致性 (10−10) 和补偿精度 (0.1E).
- 实验结果证实了运动诱导误差的显著减少 (1mg线性,0.001rad/s角).
- 噪声水平降至4ng/Hz,接近静态固有噪声底线.
结论:
- 拟议的黑盒建模方法有效地减轻了引力梯度计中的运动诱导错误.
- 这种方法通过减少对精确传感器安装的依赖来提高实际性能.
- 该方法为动态条件下的重力梯度计应用提供了强大的解决方案.
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