Performance Analysis and Control of a Low-Frequency Vibration Generator for Accelerometer Calibration

IF 1.5 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Y. Du, P. Dang, Z. Liu
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引用次数: 0

Abstract

This paper presents a novel control strategy to improve the performance of a low-frequency vibration calibration system. The low-frequency vibration calibration system based on a linear motor is first developed. The amplitude sensitivity and phase sensitivity are then derived. Subsequently, the composite control strategy of the iterative learning control (ILC) and Luenberger observer is established to improve the performance of the linear motor vibration generator. Finally, the frequency stability of the linear motor is measured, and a tri-axial accelerometer is calibrated. Experimental results indicate that the linear motor controlled by the proposed composite strategy can fulfill accelerometer calibration with high precision, and maintain the performance in the full frequency band.

Abstract Image

用于加速度计校准的低频振动发生器的性能分析与控制
本文提出了一种新颖的控制策略,以提高低频振动校准系统的性能。首先开发了基于线性电机的低频振动校准系统。然后推导出振幅灵敏度和相位灵敏度。随后,建立了迭代学习控制(ILC)和卢恩贝格尔观测器的复合控制策略,以改善线性电机振动发生器的性能。最后,测量了直线电机的频率稳定性,并校准了三轴加速度计。实验结果表明,采用所提出的复合策略控制的直线电机可以高精度地完成加速度计校准,并在全频带内保持性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Experimental Techniques
Experimental Techniques 工程技术-材料科学:表征与测试
CiteScore
3.50
自引率
6.20%
发文量
88
审稿时长
5.2 months
期刊介绍: Experimental Techniques is a bimonthly interdisciplinary publication of the Society for Experimental Mechanics focusing on the development, application and tutorial of experimental mechanics techniques. The purpose for Experimental Techniques is to promote pedagogical, technical and practical advancements in experimental mechanics while supporting the Society''s mission and commitment to interdisciplinary application, research and development, education, and active promotion of experimental methods to: - Increase the knowledge of physical phenomena - Further the understanding of the behavior of materials, structures, and systems - Provide the necessary physical observations necessary to improve and assess new analytical and computational approaches.
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