Analysis of Coupled Vibration Characteristics of Linear-Angular and Parameter Identification

IF 1 4区 工程技术 Q4 INSTRUMENTS & INSTRUMENTATION Measurement Science Review Pub Date : 2024-03-07 DOI:10.2478/msr-2024-0003
Bo Tang, Jiangen Yang, Wei Chen, Xu Ming
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Abstract

A steady-state sinusoidal and distortion-free excitation source is very important for the accuracy and consistency of the calibration parameters of micro-electro-mechanical systems (MEMS) inertial sensors. To solve the problem that the current MEMS inertial measurement unit (IMU) calibration device is unable to reproduce the spatial motion of linear and angular vibration coupling, research topics on the coupling vibration characteristics and parameter identification for an electromagnetic linear-angular vibration exciter are proposed. This research paper used Ampere’s law and Lorentz force to establish the analytical expressions for the electromagnetic force and electromagnetic torque of the electromagnetic linear-angular vibration exciter. Then, the main purpose of this paper is to establish uniaxial and coupled vibration electromechanical analogy models containing mechanical parameters based on the admittance-type electromechanical analogy principle, and the parameter identification model is also obtained by combining the impedance formula with the additional mass method. Finally, the validity of the coupling vibration characteristics and the parameter identification model are verified by the frequency response simulation and the additional mass method, and the relative error of each parameter identification is within 5% in this paper.
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线性-角耦合振动特性分析与参数识别
稳态正弦无畸变激励源对于微机电系统(MEMS)惯性传感器校准参数的准确性和一致性非常重要。为解决目前 MEMS 惯性测量单元(IMU)校准装置无法再现线性和角振动耦合空间运动的问题,提出了电磁线性-角振动激振器耦合振动特性和参数识别的研究课题。本文利用安培定则和洛伦兹力建立了电磁线-角振动激振器的电磁力和电磁转矩的解析表达式。然后,本文的主要目的是根据导纳型机电类比原理,建立包含机械参数的单轴和耦合振动机电类比模型,并结合阻抗公式和附加质量法得到参数识别模型。最后,本文通过频率响应仿真和附加质量法验证了耦合振动特性和参数识别模型的有效性,各参数识别的相对误差均在 5%以内。
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来源期刊
Measurement Science Review
Measurement Science Review INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.00
自引率
11.10%
发文量
37
审稿时长
4.8 months
期刊介绍: - theory of measurement - mathematical processing of measured data - measurement uncertainty minimisation - statistical methods in data evaluation and modelling - measurement as an interdisciplinary activity - measurement science in education - medical imaging methods, image processing - biosignal measurement, processing and analysis - model based biomeasurements - neural networks in biomeasurement - telemeasurement in biomedicine - measurement in nanomedicine - measurement of basic physical quantities - magnetic and electric fields measurements - measurement of geometrical and mechanical quantities - optical measuring methods - electromagnetic compatibility - measurement in material science
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