振动控制系统中振动测量结果的不确定度评定与系统改进

发布时间：2018-07-05 03:49

本文选题：振动测量 + 不确定度评定　；参考：《科学技术与工程》2016年29期

【摘要】：针对一种小型振动主动控制系统对振动测量结果不确定度的指标要求,设计并搭建了以压电加速度传感器和微型电荷放大器为主的微型振动检测试验系统,建立了测量结果不确定度评定的数学模型,深入研究了系统重复性测量、压电加速度传感器等测量装置本身、温度等外部环境以及安装因素等九个不确定度来源,并参考ISO 16063—11:1999标准和JJF1059.1—2012的规定,评定了微型振动检测试验系统的振动测量频率和幅值的不确定度。结果表明:振动检测系统测量频率和幅值的不确定度(k=2)分别为3.070%和0.338%,符合指标要求,证明了该系统的设计合理、可行;能够用于小型振动主动控制系统的研制。此外,作出了系统测量结果各类不确定度及分量的分布直方图;对比分析后,针对测量结果不确定度的影响因素,提出了改进振动检测系统的方法,为今后进一步提高同类振动检测系统测量结果的准确度与可信度,提供了可靠的依据与有效的措施。
[Abstract]:Aiming at the requirement of uncertainty of vibration measurement results in a small active vibration control system, a micro-vibration testing system with piezoelectric accelerometer and micro-charge amplifier is designed and built. The mathematical model of uncertainty evaluation of measurement results is established. Nine sources of uncertainty such as system repeatability measurement, piezoelectric acceleration sensor itself, external environment such as temperature and installation factors are studied in depth. According to ISO 16063-11: 1999 standard and JJF1059.1-2012, the uncertainty of vibration measurement frequency and amplitude of micro-vibration test system is evaluated. The results show that the uncertainty of measurement frequency and amplitude of vibration detection system is 3.070% and 0.338% respectively, which meets the requirements of the index, and proves that the design of the system is reasonable and feasible, and can be used in the development of small active vibration control system. In addition, the distribution histogram of all kinds of uncertainty and components of the system measurement results is made, and the method of improving the vibration detection system is put forward according to the influencing factors of the uncertainty of the measurement results after comparative analysis. It provides a reliable basis and effective measures for further improving the accuracy and reliability of the measurement results of the similar vibration detection system in the future.
【作者单位】：中北大学计算机与控制工程学院;长安大学信息工程学院;
【基金】：第二炮兵武器装备部预先研究项目(1407019)资助
【分类号】：TB535

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