基于TD模型的光纤陀螺仪的热变形错误的建模和预测
Jintao Xu1,2, Ailing Tian1, Hui Liu3
1Key Laboratory of Thin Film Technology and Optical Testing in Shaanxi Province, School of Opto-Electronic Engineering, Xi'an Technological University, Xi'an 710021, China.
Sensors (Basel, Switzerland)
|December 9, 2023
概括
这项研究引入了一种新的TD模型,用于预测光纤陀螺仪的热误差. 该模型将理论分析与有限的测试数据集成在一起,大大提高了58%的预测准确度,并减轻了过度拟合.
科学领域:
- 光电学是指光电子产品.
- 仪器化 仪器化 仪器化
- 材料科学 材料科学 材料科学
背景情况:
- 光纤陀螺仪 (FOG) 容易受到纤维线圈变形引起的热误差的影响,影响性能.
- 准确的热误差补偿对于FOG精度至关重要,但直接测量具有挑战性.
- 基于温度预测热误差是补偿的一个可行的方法.
研究的目的:
- 利用温度数据开发一种可靠的方法来预测FOG中的热误差.
- 为应对因实验样本有限而导致数据驱动模型过拟合的挑战.
- 提出和验证混合建模方法,将理论见解和经验数据结合起来.
主要方法:
- 收集不同温度下的光纤线圈的同步相位误差和角速度数据.
- 基于热变形分析开发了一个理论模型,并确定了关键参数 (例如热膨胀系数).
- 提出了TD模型,将理论模型作为规范化术语与系数回归的测试数据集成在一起.
主要成果:
- TD模型有效地减轻了过拟合,这是数据驱动建模中有限数据的常见问题.
- 实验性比较分析表明,TD模型的优势超过普通回归模型.
- 使用TD模型,预测准确度大大提高了58%.
结论:
- TD模型在补偿光纤陀螺仪的热误差方面取得了重大进展.
- 将理论知识与实证数据相结合,为强大的预测建模提供了一个强大的策略.
- 这种方法提高了FOG的准确性和可靠性,特别是在实验数据有限的场景中.
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