基于神经网络逆建模的三相光学电流互感器  

Three-phase optical current transducer based on neural network inverse modeling

作　　者：刘晔[1] 邹建龙[1] 王采堂[1] 苏彦民[1] 韦兆碧[1] 王锋[1] 

机构地区：[1]西安交通大学电气工程学院,陕西西安710049

出　　处：《电工电能新技术》2001年第4期5-8,30,共5页Advanced Technology of Electrical Engineering and Energy

摘　　要：三相光学电流互感器是以电力系统三相电流 (包括不对称三相电流 )作为测量对象的光学电流互感器 ,线性双折射效应是影响三相光学电流互感器性能的主要因素。论文采用神经网络逆建模技术来补偿线性双折射效应对三相光学电流互感器测量结果的影响 。Three\|phase Optical Current Transducer (TOCT) takes three\|phase current (including asymmetrical three\|phase current) in power system as the measuring object. It is mainly the linear birefringence effect that influences the performance of TOCT. This paper adopts the technology of neural network inverse modeling to compensate the influence of linear birefringence effect on TOCT, and also provides principle of the method and its applications.

关 键 词：三相光学电流互感器 电流传感 逆建模 神经网络 

分 类 号：TM452[电气工程—电器] TP183[自动化与计算机技术—控制理论与控制工程]