作　　者： ; ; ; ; (陈杏灿）;

机构地区： 广东工业大学自动化学院

出　　处： 《电工电气》 2015年第11期23-26,53,共5页

摘　　要： 针对在直流偏磁状态下铁磁性材料磁滞回线发生畸变的现象,应用BP神经网络理论在Matlab平台上实现对磁控电抗器铁芯磁滞回线的拟合,并对直流偏磁下的绕组电流的畸变情况进行仿真。结果表明,经拟合之后的磁滞回线与实际测得值接近,各绕组电流变化情况与理论分析相符合,为研究直流偏磁下磁滞回线的拟合及电流畸变分析提供了有效的方法。 Aimed at the distortion of ferro magnetic material hysteresis loop under direct current magnetic bias, this paper used the back propagation neural network theory to realize matching of hysteresis loop based on magnetic controlled reactor on the platform of Matlab, simulating the winding current distortion under direct current magnetic bias. The results show that the matching hyster- esis loop is close to the practical measured curve. The excitation current changes are consistent with theoretical analysis, which pro- vides an effective approach for the research of hysteresis loop matching and current distortion under direct current magnetic bias.

关 键 词： 磁滞回线 直流偏磁 神经网络 磁控电抗器 电流畸变

领　　域： [电气工程]