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主要针对有源电力滤波器自适应谐波检测传统算法进行了改进,目的是为了降低自适应谐波检测的瞬态响应时间,提高有源电力滤波器系统工作的实时性.文中对基于最小均方算法(LMS)和基于递归最小二乘法(RLS)的两种自适应谐波检测算法都进行了介绍和讨论,并通过程序编程进行了实现.为了提高自适应谐波检测算法的响应速度,通过负载电流的Clark坐标变换得到其参考输入信号,以替代传统利用锁相环获取输入信号的方法,经过这种改进可以显著地改善有源电力滤波器系统实时计算负担.本文MATLAB/Simulink对新策略进行了仿真研究,最后利用德州仪器DSP-TMS320F2812进行了实验验证,仿真和实验结果均证明了该方法的有效性和先进性.“,”In this paper, a self-adaptive traditional harmonic detection algorithm of APF has been improved, the purpose is to reduce the transient response time of self-adaptive harmonic detection, improve the real-time of the active power filter system. Two self-adaptive harmonic detection algorithms based on minimum mean square (LMS) and recursive least squares method (RLS) are introduced and discussed in this paper, and are achieved by programming. In order to improve the response speed of the self-adaptive harmonic detection algorithm, the paper get its reference input signal by Clark coordinate transformation instead of the traditional methods of obtaining the input signal using a phase locked loop. After that the real-time computational burden of the active power filter system can be improved significantly. This paper does simulation research on the new strategy by MATLAB / Simulink. Finally, we have got an experimental verification by TI DSP-TMS320F2812, simulation and experimental results could demonstrate the effectiveness and advancement of the method.