一种基于Elman回归神经网络检测谐波方法  

A Harmonic Detection Method Based on Elman Neural Network

作　　者：马立新[1] 张海兵[1] 项庆[1] 周磊[1] 

机构地区：[1]上海理工大学光电信息与计算机工程学院,上海200093

出　　处：《电机与控制应用》2016年第4期86-89,共4页Electric machines & control application

基　　金：上海市张江国家自主创新重点项目(201310-PI-B2-008);沪江基金(C14002)

摘　　要：提出了基于Elman回归神经网络提取检测谐波电流的方案。通过MATLAB/Simulink仿真试验结果,验证了算法的可行性。该算法不仅能够满足检测谐波实时性的要求,同时在检测谐波的精度上有较大提高。The scheme to extract the harmonic current based on Elman recurrent neural network was presents,illustrating the feasibility of the algorithm through the MATLAB / Simulink simulation experiments. The algorithm can not only meet the requirements of real-time of harmonic detection,but also has great improvement in the accuracy of the harmonic detection.

关 键 词：检测谐波 Elman回归神经网络 MATLAB/SIMULINK 

分 类 号：TM306[电气工程—电机]