过零点
补偿(心理学)
失真(音乐)
电流(流体)
整流器(神经网络)
拓扑(电路)
零(语言学)
帧(网络)
干扰(通信)
计算机科学
电流源
控制理论(社会学)
功率(物理)
数学
电子工程
控制(管理)
物理
电信
频道(广播)
工程类
电气工程
人工智能
哲学
精神分析
放大器
语言学
随机神经网络
带宽(计算)
循环神经网络
心理学
量子力学
人工神经网络
作者
Zheyu Miao,Hao Tong,Xiaoguang Jin,Wenxi Yao,Zhengyu Lü,Zhen Ma
标识
DOI:10.1109/tpel.2019.2957540
摘要
Vienna rectifiers are widely used as front-end rectifiers in many applications because of their high efficiency and high power density. However, this topology has a problem that its current is always distorted near zero-crossing points, especially when the converter-side current ripples are large. This article reveals and models the zero-crossing current distortion phenomenon, which is caused by nonshared vectors of adjacent sectors when the sector detection error occurs. Near the zero-crossing points, the inevitably sector detection errors will occur due to the presence of the switching current ripples and other factors such as the control delay. The errors can be divided into two types, namely, the lag error, and the lead error. The effects of the two types of errors are equivalently modeled in the dq frame in this article. When the detection error occurs, it is equivalent to applying additional interference terms to the control output. Based on the equivalent error model, this article proposes two compensation methods to eliminate the zero-crossing effect caused by the sector error. The proposed methods are effective and easy-to-implement. Finally, simulation and experimental results validate the theoretical analysis.
科研通智能强力驱动
Strongly Powered by AbleSci AI