摘要
在对电流互感器（ＣＴ）暂态过程的数字仿真中，电流互感器的铁芯的非线性磁化特性必须加以考虑。本文运用人工神经网络模拟主磁滞回环，以及根据主磁滞回环按线性变化的位移来生成局部磁滞回环的方法，建立铁芯动态非线性磁化过程的计算模型。在此基础上对电流互感器的暂态过程进行了仿真，收到了较好的效果。
The nonlinear magnetization characteristic of current transformer (CT) iron core must be considered when simulating the CT's transients behavior. Artificial Neural Network (ANN) is employed in this paper to approximate the major hystersis loop,with which the dynamic nonlinear magnetizing calculation model for iron core is built. The transient resPOnse of CT is simulated using the model and agreeable result is achieved.
出处
《电路与系统学报》
CSCD
1996年第1期70-74,共5页
Journal of Circuits and Systems
