中文摘要：

为解决静电电位动态测量的补偿问题,提出了一种基于系统辨识的波形重建算法。设计了静电电位动态测量标准装置,对静电电位动态测量仪进行了校准实验,用数字存储示波器采集了标准高压方波输入信号及静电电位动态测量仪畸变输出信号,分别利用最小二乘法以及最优4阶辅助变量法,通过系统辨识得到了静电电位动态测量仪的时域传递函数模型,再用逆传递函数和静电电位动态测量仪实际输出信号恢复出原始被测静电电位信号,获得了满意的波形重建结果。实验结果验证了基于系统辨识波形重建算法的有效性,为提高静电电位动态测量的准确性提供了一种新手段。

英文摘要：

In order to solve dynamic compensation problem in electrostatic charge potential testing instrument, we put forward a waveform reconstructing arithmetic based on system identification. A standard calibration device for electrostatic high voltage measurement was designed and constructed to perform the electrostatic potential dynamic testing compensation experiment. The standard high-voltage square wave input signal and the distorted export signal of electrostatic potential dynamic testing instrument were measured by a digital memory oscilloscope. The time domain transfer function and waveform reconstruction were gained by using the system identification arithmetic. Consequently, the transfer function model of electrostatic charge potential testing instrument was identified by the least square and optimum auxiliary variable method respectively. Satisfactory original electrostatic charging potential signal is obtained by inversing the transfer function and the output signal of electrostatic potential dynamic testing instrument. The experimental results show that the waveform reconstruction arithmetic based on system identification is an effective method for dynamic compensation of electrostatic high-voltage waveform measurement.