高精度压力检测系统中的误差补偿技术研究  

Research on error compensation technology in high precision pressure detection system

作　　者：杨纯龙 YANG Chun-Long(Guangdong Province Huizhou Quality Measurement Supervision and Testing Institute,Huizhou 516003,China)

机构地区：[1]广东省惠州市质量计量监督检测所,惠州516003

出　　处：《实验室检测》2024年第11期33-35,共3页Laboratory Testing

摘　　要：目的研究高精度压力检测系统中的误差补偿技术,提高系统测量精度。方法提出了基于神经网络的综合误差补偿方法,建立压力传感器误差模型,设计了自适应神经网络补偿器。结果该方法实现了对非线性误差的有效补偿,实验结果表明,系统非线性误差从0.25%FS降至0.015%FS,最大相对误差由0.38%降至0.022%。温度补偿后的温度系数降低到0.002%FS/℃,相比补偿前的±0.01%FS/℃提升了80%。动态响应时间在1.7~2.0 ms范围内,-3 dB带宽达850~870 Hz。结论本文所提出的误差补偿方法能有效提升压力检测系统的测量精度,为高精度压力检测技术的发展提供了新思路。Objective To study error compensation techniques in high-precision pressure detection systems and improve measurement accuracy.Methods A comprehensive error compensation method based on neural networks was proposed,and a pressure sensor error model was established.An adaptive neural network compensator was designed.Results This method achieves effective compensation for nonlinear errors,and experimental results show that the systematic nonlinear error decreases from 0.25%FS to 0.015%FS and the maximum relative error from 0.38%to 0.022%.After temperature compensation,the temperature coefficient decreased to 0.002%FS/℃,which increased by 80%compared to±0.01%FS/℃before compensation.The dynamic response time is in the 1.7~2.0 ms range,with a-3dB bandwidth of 850~870 Hz.Conclusion The error compensation method proposed in this paper can effectively improve the measurement accuracy of pressure detection systems and provide new ideas for the development of high-precision pressure detection technology.

关 键 词：高精度压力检测 误差补偿 神经网络 非线性校正 自适应算法 

分 类 号：TH812[机械工程—仪器科学与技术]