摘要
阐述了传感器静态特性曲线拟合方法的最佳选择原则。提出利用幂级数回归的新拟合技术,其特点是根据给定拟合精度要求,自动确定拟合回归方程的阶次,从而有效地补偿传感器非线性误差。
The criteria of the optimal selection for the fitting methods of static characteristic curve of transducer are described. The author states that by using the new technology of power series regression, which examine the order of the fitting regression equationautomatically based on the requirement of the given fitting accuracy, the non-linear error of the transducer can be compensated effectively.
出处
《自动化仪表》
CAS
北大核心
1993年第12期8-11,共4页
Process Automation Instrumentation