Fitting VFC's Output Using Functionally Connected High-Order Neural Networks  

作　　者：CHENGChun-ling ZHOUJie 

机构地区：[1]DepartmentofComputerScienceandTechnology,NanjingUniversityofPostsandTelecommunications,Nanjing210003,P.R.China [2]NanjingAutomationResearchInstitute,Nanjing210003,P.R.China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2004年第1期84-89,共6页中国邮电高校学报（英文版）

摘　　要：A new method is presented in this paper for fitting Voltage-to-Frequency Converter (VFC's) output functions by using Functionally Connected High-order Neural Networks (FCHNN). The nonlinear estimation is implemented when the VFC110 is used at a full-scale output frequency of 4 MHz. Two kinds of on-line dynamic calibrating circuits are designed to improve the sampling precision. This method can also be applied to different industrial areas.A new method is presented in this paper for fitting Voltage-to-Frequency Converter (VFC's) output functions by using Functionally Connected High-order Neural Networks (FCHNN). The nonlinear estimation is implemented when the VFC110 is used at a full-scale output frequency of 4 MHz. Two kinds of on-line dynamic calibrating circuits are designed to improve the sampling precision. This method can also be applied to different industrial areas.

关 键 词：VFC110 FCHNN nonlinear estimation dynamic calibration 

分 类 号：TN773[电子电信—电路与系统] TP183[自动化与计算机技术—控制理论与控制工程]