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环形MEMS陀螺仪质量增减组合机械修调方法研究

Research on the Mass Adding and Removing Combined Mechanical Trimming Method of the Ring MEMS Gyroscope.

作者信息

Wang Xinyu, Wu Kai, Wang Chengxiang, Li Qingsong, Hou Zhanqiang, Xiao Dingbang, Wu Xuezhong

机构信息

College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China.

Hunan MEMS Research Center, Changsha 410073, China.

出版信息

Micromachines (Basel). 2023 Oct 20;14(10):1957. doi: 10.3390/mi14101957.

Abstract

The MEMS gyroscope is one of the basic units of inertial navigation, whose performance and accuracy is noteworthy. Because of the limitations of processing technology and other factors, the relative manufacturing error of MEMS gyroscopes is usually large. Errors directly lead to a frequency mismatch of resonant structures and consequently restrict the performance improvement of the gyroscope. This study proposes a mechanical trimming technique combining the addition and removal of gold in a ring MEMS gyroscope. Firstly, the analysis of the gyroscope dynamics and error model and trimming theory provides theoretical guidance for the trimming process. Secondly, the method of adjusting the mass is investigated, and the ablation threshold of femtosecond laser parameters on gold is analyzed, which provides the process with parameters for the trimming experiment. Finally, the frequency trimming process is conducted in three steps, including the addition of gold spheres and the removal of gold spheres and gold film, which are applicable to the trimming process at different rates of frequency split. The results shows that the proposed method can reduce the frequency split of the gyroscope from 4.36 to 0.017 Hz.

摘要

微机电系统(MEMS)陀螺仪是惯性导航的基本单元之一,其性能和精度值得关注。由于加工技术等因素的限制,MEMS陀螺仪的相对制造误差通常较大。误差直接导致谐振结构的频率失配,从而限制了陀螺仪性能的提升。本研究提出了一种在环形MEMS陀螺仪中结合添加和去除金的机械微调技术。首先,对陀螺仪动力学、误差模型和微调理论的分析为微调过程提供了理论指导。其次,研究了调整质量的方法,并分析了飞秒激光参数对金的烧蚀阈值,为微调实验提供了工艺参数。最后,频率微调过程分三步进行,包括添加金球、去除金球和金膜,适用于不同频率分裂率的微调过程。结果表明,所提出的方法可将陀螺仪的频率分裂从4.36 Hz降低至0.017 Hz。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abd8/10609602/be2b93e8cc13/micromachines-14-01957-g001.jpg

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