基于LMS算法的自适应谐波检测方法研究  

Research on Adaptive Harmonic Detection Methods Based on LMS Algorithm

作　　者：芮长颖[1] 

机构地区：[1]无锡职业技术学院,江苏无锡214121

出　　处：《控制工程》2017年第11期2243-2248,共6页Control Engineering of China

摘　　要：主要针对自适应算法的电力系统谐波电流检测,介绍了两种基于LMS算法的自适应谐波检测方法,能够在三相负载电流不平衡时准确地检测出基波电流。但是该检测算法在实际工作中不能够兼顾收敛性与精度,所以提出了改进的LMS谐波检测方法,可以在不影响精度的情况下提高收敛速度。另外还介绍了一种基于LMS算法的自适应神经网络方法,它能够根据需要准确地检测特定次谐波电流。最后通过MATLAB/Simulink对这两种基于LMS算法的自适应谐波检测方法进行了仿真验证。Mainly for the adaptive algorithm of the electric power system harmonic current detection, this paper has introduced two adaptive harmonic detection methods based on LMS algorithm. This method could accurately detect the fundamental wave current in the three-phase unbalanced load current. However, the detection algorithm in practice could not keep both the convergence and accuracy, so in this paper, the traditional LMS harmonic detection method has been improved, the improved method could improve the convergence speed, but not affect the precision of the case. Moreover, this paper has also introduced a kind of adaptive neural network method based on LMS algorithm, which could accurately detect specific harmonic current according to need. Finally, two kinds of adaptive harmonic detection methods based on LMS algorithm have been verified through the MATLAB/Simulink simulation.

关 键 词：自适应算法 LMS ANN 谐波检测 

分 类 号：TM352[电气工程—电机]