基于ANCT和Adaline两种自适应谐波电流检测模型的分析

介绍了两种自适应谐波电流检测模型的基本原理，即基于自适应噪声对消技术（ANCT）的谐波电流检测模型和基于Adaline的自适应谐波电流检测模型，并分析了两种模型在相同自适应算法的条件下的检测性能，缺陷和适用范围，以及不同自适应算法对相同模型的检测性能的影响。分析结果表明：在相同算法条件下，两种模型的收敛速度一致，后者的稳态误差小（理论上可以为0）但计算量大，前者只适用于信噪比很大的情况下并且其检测结果主要作为有源电力滤波器（APF）的参考信号，而后者的检测结果还有其他用途（如谐波分析，保护和控制等）；同时，不同的自适应算法对同一模型检测性能的影响由算法本身决定。数值仿真验证了该理论分析的正确性。

Analysis of the two adaptive harmonic current detection models based on ANCT and Adaline

This paper first introduces the basic principle of two kinds of adaptive harmonic current detection models, which are based on adaptive noise cancellation technology (ANCT) and Adaline, respectively. The detection performance, defects and the scope of application of the two models under the condition of the same adaptive algorithm are analyzed, and the impact on the detection performance of different adaptive algorithms with respect to the same model is also provided. Analysis results show that under the conditions of the same algorithm, the convergence rate of the two models is consistent, and the steady state error of the latter is small (theoretical value may be 0) but computationally intensive, the former is only applicable to the case of the high SNR, the detection results of the former is only used as reference signal of the active power filter (APF) while the latter has other applications (e.g., harmonic analysis, protection and control, etc; the impact of different adaptive algorithms on the detection performance of the same model is determined by the algorithm itself. The numerical simulations confirm the validity of the theoretical analysis.