基于神经网络的电功率自适应测量方法  

A self-adaptive measuring method of electric power based on a neural network

作　　者：徐秀平[1] 李柱峰[1] 

机构地区：[1]五邑大学,广东江门529020

出　　处：《工业仪表与自动化装置》2004年第2期47-49,29,共4页Industrial Instrumentation & Automation

基　　金：五邑大学科学研究基金资助(编号20030101);江门市科学研究基金资助(编号20030061)。

摘　　要：详细介绍基于神经网络的电功率自适应测量方法 ,给出系统原理图及电功率测量误差自动校正方法 ;介绍一种LEA判别法的梯度牛顿有效结合神经网络学习方法 ;采用DSP技术实现电功率实时快速测量 ,给出实验结果。This paper presents the self-adaptive measuring method of electric power based on a neural network along with a system-schematic diagram and an automatic correction method for the electric power measurement error.A brief introduction about the LEA decision method is also given,which shows that both graded methods and Newton methods can be effectively combined in the neural network learning.The DSP technology is used to realize real-time and fast measurements.The experimental result is also given out.

关 键 词：电功率测量 LEA判别法 自适应 DSP 神经网络 

分 类 号：TM933.3[电气工程—电力电子与电力传动] TP183[自动化与计算机技术—控制理论与控制工程]