Department of Automation, Shanxi University, Taiyuan 030013, China.
Key Laboratory for Instrumentation Science &Dynamic Measurement, Ministry of Education, North University of China, Taiyuan 030051, China.
Sensors (Basel). 2019 Mar 1;19(5):1052. doi: 10.3390/s19051052.
Transient pressure testing is often accompanied by shock acceleration. Aiming at the acceleration-induced effects of pressure sensors, a dynamic compensation method combining empirical mode decomposition (EMD) with system identification theory (SIT) is proposed in this paper. This method is more effective at reducing the error of the acceleration-induced effects without affecting the sensor's sensitivity and inherent frequency. The principle and theoretical basis of acceleration-induced effects is analyzed, and the static and dynamic acceleration-induced effects on the quartz crystal of a piezoelectric pressure sensor are performed. An acceleration-induced effects dynamic calibration system is built using a Machete hammer, which generates acceleration signals with larger amplitude and narrower pulse width, and an autoregressive exogenous (ARX)mathematical model of acceleration-induced effects is obtained using empirical mode decomposition-system identification theory (EMD-SIT). A digital compensation filter for acceleration-induced effects is designed on the basis of this model. Experimental results explain that the acceleration-induced effects of the pressure sensor were less than 11% after using the digital compensation filter. A series of test data verify the accuracy, reliability, and generality of the model.
瞬态压力测试通常伴随着冲击加速度。针对压力传感器的加速度影响，本文提出了一种结合经验模态分解（EMD）和系统辨识理论（SIT）的动态补偿方法。该方法在不影响传感器灵敏度和固有频率的情况下，更有效地降低了加速度影响的误差。分析了加速度影响的原理和理论基础，对压电压力传感器的石英晶体进行了静态和动态加速度影响实验。利用 Machete 锤建立了加速度影响动态校准系统，该系统产生的加速度信号具有更大的幅值和更窄的脉冲宽度，并使用经验模态分解-系统辨识理论（EMD-SIT）获得了加速度影响的自回归外生（ARX）数学模型。在此模型的基础上，设计了用于加速度影响的数字补偿滤波器。实验结果表明，使用数字补偿滤波器后，压力传感器的加速度影响小于 11%。一系列测试数据验证了该模型的准确性、可靠性和通用性。
