几种基于神经网络的谐波测量方法比较研究  

Compare Research to Several Methods of Measuring Harmonics Based on Artificial Neural Networks

作　　者：李承[1] 杨博[2] 程炜[1] 李向阳[1] 

机构地区：[1]华中科技大学电气与电子工程学院,武汉430074 [2]中南财经政法大学信息学院,武汉430000

出　　处：《自动化与仪器仪表》2006年第4期1-3,11,共4页Automation & Instrumentation

摘　　要：分析了目前已经提出的几种基于神经网络的电力谐波测量方法。从网络结构、测量原理、学习算法以及实现方法等方面进行了比较分析。结果表明:基于自适应线性神经元的谐波测量方法原理清楚、模型简单、实现方便、测量精度高,是一种很有应用前景的谐波测量方法。比较结果对于应用有指导价值。In this paper, it is analyzed that several methods based on artificial neural networks are used for measuring harmonics. The compare research is done to the structure of network, the principle of measurement, the study algorithm and the ways of realized. The result shows that the adline has simple model and high measurement precision and it is a good method for measuring harmonics in the future.

关 键 词：神经网络 谐波测量 比较分析 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]