摘要
针对有源电力滤波器(APF)的传统控制方法的缺点和应用局限性,提出了一种基于RBF神经网络的控制方法,该方法控制精度高,滤波效果好,同时在主电路中加入软开关环节,减小功率开关器件开通关断损耗,进一步提高APF的工作效率。本文利用Matlab对有源电力滤波器进行仿真研究,仿真结果表明在有效地检测出谐波分量的基础上,基于新控制方法的有源电力滤波器可以很好地滤除谐波,完成抑制谐波的作用。
According to the characteristic and disadvantage of traditional methods, a RBF neural network controlling method was proposed which had high compensation precision and extensive. In order to decrease the wastage when apparatus open and close and advance the work efficiency of APF, the soft-switching was put into main circuit. The active power filter was simulated in Matlab and the results show that the new active power filter based on new methods is correct and can eliminate harmonic current effectively.
出处
《化工自动化及仪表》
CAS
北大核心
2010年第3期81-83,99,共4页
Control and Instruments in Chemical Industry
