基于系统辨识的雷击浪涌注入效应仿真

为探索系统辨识方法在电磁脉冲注入效应仿真领域的适用性，使用三端稳压电源进行雷击浪涌注入实验，分别采集注入的雷击浪涌电压和三端稳压电源的响应电压。对采集的数据运用dh系列小波降噪，进行去除趋势项预处理。选用ARX模型，利用最小二乘法进行参数辨识。根据所得模型预测在不同浪涌电压下三端稳压电源的响应电压，并与实际电压进行对比。计算结果表明，基于系统辨识的方法得到了满意的能量耦合模型，较好的预测了三端稳压电源的响应电压。

Simulation of Lighting Surge Inject Effects Based on System Identification

In order to explore the applicability of system identification theory used in the field of electron- ic EMP inject effects simulation, the three-terminal stable voltage power circuit is used to carry on the lighting surge experiment. The voltage of lighting surge and three-terminal stable voltage power circuit is measured. The background noise is erased by db wavelet. The ARX model based on Least Square algo- rithm is used for estimating the parameters of the model. According to the model, the response voltage un- der the different surge voltages is predicted. The result is compared with the measured voltage. The good energy coupling model is acquired based on system identification. The response voltage of three-terminal stable voltage power circuit is predicted exactly.