基于NARX模型的电流检测  

Current Detection Based on NARX Model

作　　者：孔旺 陈乐柱 李广雨 朱坤 KONG Wang;CHEN Lezhu;LI Guangyu;ZHU Kun(Engineering Research Institute,Anhui University of Technology,Maanshan 243000;School of Electrical and Information Engineering,Anhui University of Technology,Maanshan 243000)

机构地区：[1]安徽工业大学工程研究院,安徽马鞍山243000 [2]安徽工业大学电气与信息工程学院,安徽马鞍山243000

出　　处：《常州工学院学报》2022年第6期28-31,共4页Journal of Changzhou Institute of Technology

摘　　要：文章对基于瞬时无功功率理论的电流检测方法和基于NARX神经网络的电流检测方法进行了理论分析,认为后者更具优越性。接着介绍了NARX神经网络的数学模型、拓扑结构、建模步骤以及用于电流检测时的建模方案,并利用MATLAB/Simulink仿真对NARX模型和i p-i q模型进行了对比,验证了基于NARX神经网络的电流检测方法的可行性与优越性。The current detection method based on instantaneous reactive power theory and the current detection method based on NARX neural network are theoretically analyzed,and the latter is proposed to be superior.Then the mathematical model,topology and modeling steps of NARX neural network,as well as the modeling scheme for current detection are introduced.Finally,comparison is made between the NARX model and i p-i q model by means of MATLAB/Simulink simulation,which verifies the feasibility and superiority of the current detection method based on NARX neural network.

关 键 词：神经网络 瞬时无功功率理论 电流检测 NARX模型 

分 类 号：TM743[电气工程—电力系统及自动化]