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一种基于虚拟科里奥利力的新型MEMS陀螺仪自校准方法及实验

A Novel Self-Calibration Method and Experiment of MEMS Gyroscope Based on Virtual Coriolis Force.

作者信息

Wang Minruihong, Cao Huiliang, Shen Chong, Chai Jin

机构信息

Science and Technology on Electronic Test & Measurement Laboratory, North University of China, Tai Yuan 030051, China.

出版信息

Micromachines (Basel). 2018 Jun 28;9(7):328. doi: 10.3390/mi9070328.

Abstract

This paper proposes an effective method to calibrate the microelectromechanical systems (MEMS) vibratory gyroscope based on the virtual Coriolis force. This method utilizes a series of voltage signals to simulate the Coriolis force input, and the gyroscope output is monitored to obtain the scale factor characteristics of the gyroscopes. The scale factor and bias parameters of the gyroscope can be calibrated conveniently and efficiently in the sense-mode open loop. The calibration error of the scale factor based on the turntable and the virtual Coriolis force method is only 1.515%, which proves the correction of the method proposed in this paper. Meanwhile, the non-linearity and bias value of the turntable and the virtual Coriolis force method are 742 ppm and 42.04 mV and 3389 ppm and 0.66 mV, respectively.

摘要

本文提出了一种基于虚拟科里奥利力校准微机电系统(MEMS)振动陀螺仪的有效方法。该方法利用一系列电压信号来模拟科里奥利力输入,并监测陀螺仪输出以获得陀螺仪的比例因子特性。在传感模式开环中,可以方便且高效地校准陀螺仪的比例因子和偏置参数。基于转台和虚拟科里奥利力方法的比例因子校准误差仅为1.515%,这证明了本文所提方法的正确性。同时,转台和虚拟科里奥利力方法的非线性度和偏置值分别为742 ppm和42.04 mV以及3389 ppm和0.66 mV。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/11bc/6082285/77374240c8e7/micromachines-09-00328-g001.jpg

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