Evaluation and Compensation of Low-Frequency Measurement Errors in Acceleration Measurement Systems
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摘要: 加速度是结构动力特性测试的关键物理量。常用加速度测量系统对低频信号测量精度不足的问题由来已久,为评估低频加速度测量误差并进行补偿,以高精度强震仪为基准,开展了振动台试验。结果表明,常用加速度测量系统的测量误差在0.1-0.5Hz范围内均有表现,其中以0.1-0.3Hz频段最为突出。在0.1Hz时,集成电子压电式(IEPE)传感器相对峰值误差约为50%,伺服式传感器在30%左右,至0.3Hz时,伺服式传感器误差降至5%以内,IEPE传感器误差也降低至10%左右。当频率为0.5Hz时,各传感器误差均降至较低水平。针对上述误差,提出了一种基于正则化最小二乘的非参数化离线补偿方法。通过引入基于功率谱的传递函数估计,并结合正则化与相位中心化进行时域约束,缓解了传统频域除法的不稳定及高频噪声放大问题。地震激励下,经补偿后伺服式与IEPE式传感器的相对峰值误差分别降至1.5%和4%以内,时域相关系数均提升至0.98以上,从而提升了低频加速度测量精度。
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关键词:
Abstract: Acceleration is a key physical quantity in structural dynamic testing. The insufficient accuracy of conventional acceleration measurement systems in low-frequency signal components remains a challenge. To evaluate low-frequency acceleration measurement errors and perform compensation, shaking table tests were conducted using a high-precision strong-motion instrument as the reference. The results show that the measurement errors of conventional acceleration measurement systems are observed across the frequency range of 0.1-0.5 Hz, with the most pronounced errors occurring in the 0.1–0.3 Hz band. At 0.1 Hz, the relative peak error of IEPE accelerometers reaches up to 53%, while that of servo accelerometers is about 30%. At 0.3 Hz, the error of servo accelerometers decreases to within 5%, and that of IEPE accelerometers is reduced to about 10%. When the frequency increases to 0.5 Hz, the errors of all sensors decrease to relatively low levels. To address these errors, a nonparametric offline compensation method based on regularized least squares is proposed. By introducing transfer-function estimation based on power spectra and combining regularization with phase-centering-based time-domain constraints, the proposed method alleviates the instability and high-frequency noise amplification caused by conventional frequency-domain division. Under seismic excitation, after compensation, the relative peak errors of servo and IEPE accelerometers are reduced to within 1.5% and 4%, respectively, while the time-domain correlation coefficients are both improved to above 0.98, significantly enhancing the accuracy of low-frequency acceleration signals. -
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