在半球共振器陀螺仪中补偿温度诱导偏差漂移:固有的数据驱动架构
Xiaocong Zhou1, Jiaqiang Wen1, Shasha Han1
1School of Engineering, Ocean University of China, Qingdao 266404, China.
Micromachines
|April 26, 2025
概括
一种新方法可以弥补半球共振器陀螺仪 (HRGs) 中温度诱导的偏差漂移和歇斯底里. 这种方法使用内部参数和KAN神经网络来提高陀螺仪的稳定性和可靠性.
科学领域:
- 仪器化 仪器化 仪器化
- 机械工程 机械工程
- 控制系统 控制系统
背景情况:
- 半球共振器陀螺仪 (HRGs) 由于温度变化而遭受偏差漂移和歇斯底里.
- 现有的补偿方法可能无法完全解决这些取决于温度的错误.
研究的目的:
- 为HRG提出并验证一种新的温度漂移补偿方法.
- 为了提高HRG在不同温度下的输出稳定性和可靠性.
主要方法:
- 建立了使用内部HRG参数 (共振频率,驱动信号振幅,方格抑制电压振幅) 的零速率输出偏差的影响模型.
- 进行了从-20°C到60°C的温度循环实验,以分析参数-温度关系.
- 开发了一个实时补偿模型,使用KAN神经网络与时间序列数据进行歇斯底里预测.
主要成果:
- 拟议的方法显著减少了HRG输出不稳定性.
- 输出稳定性从0.022°/h提高到0.013°/h.
- 总体稳定性从1.1392°/h下降到0.0651°/h. 这是一个很大的变化.
结论:
- 基于内部参数的补偿方法有效地减轻了HRG中的温度漂移和歇斯底里.
- KAN神经网络提高了对歇斯底里现象的预测准确性.
- 该研究表明,通过拟议的补偿策略,HRG的稳定性和可靠性得到了改善.
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