计算机工程与应用2011，Vol.47Issue(16)：242-245,4.DOI:10.3778/j.issn.1002-8331.2011.16.072
称重传感器非线性误差自适应补偿方法
Method for adaptive compensation of load cell's nonlinear error
摘要
Abstract
The nonlinear error of load cell is not same in weight range. The character of load cell's nonlinear error is formulated and a method for adaptive compensation is proposed. The nonlinear error compensation network based on Radial Basis Function Neural Network(RBFNN) is used in upper limit of load cell' weighing range, the digital filter is applied in the low limit range,and the load cell is not compensated in the middle range.The adaptive selective network is use to choose the subnet for error compensation.The experimental results show that the maximum relative error of load cell with this method respectively drops from 0.2％ in its lower interval scale,0.4％ in its middle interval scale, and 1.37％ in its upper interval scale without compensation to 0.16％,0.04％,and 0.07％ after compensation,and its weighing result is more accurate.关键词
称重传感器/非线性误差/自适应补偿/径向基函数神经网络Key words
load cell/nonlinear error/adaptive compensation/radial basis function neural network分类
信息技术与安全科学引用本文复制引用
杨进宝,汪鲁才..称重传感器非线性误差自适应补偿方法[J].计算机工程与应用,2011,47(16):242-245,4.基金项目
湖南省教育厅优秀青年基金(No.07C249). （No.07C249）
