摘要
传感系统的2项主要误差是非线性误差和重复性,为了提高传感系统的准确度,提出了减小这2项误差的软件方法:即用神经网络技术减小非线性;用微机软件数字滤波技术减小重复性。与传统技术比,系统的量程扩大30%以上,非线性减小到0.1%FS以下,重复性也大幅减小,应用效果显著。
Non-linear error and repeatability are two chief errors of sensing system, therefore, two software methods are proposed to decrease two errors in order to improve the accuracy of sensing system. One approach is based on the technique of neural network for reducing non-linear error, and the other is the software technique of micro-computer based on digital filter for reducing repeatability. Comparing with the traditional technique, the newone leads to an outstanding effect in application: the range of system is enlarged more than 30 %, on the other hand, the non-linear error is reduced to below 0.1 %FS, and the repeatability is also decreased (prominently.)
出处
《传感器技术》
CSCD
北大核心
2004年第4期43-46,共4页
Journal of Transducer Technology
基金
江苏省教育厅自然科学基金项目(01KJB520007)
关键词
非线性
重复性
神经网络
数字滤波
传感系统
sensing system
non-linear error
repeatability
neural network
digital filter
