【摘要】 低频段频率特性的测量结果直接影响到系统参数辨识的精度和系统数学模型的准确度。传统的频率特性测量方法,在低频时,测量精度较差,且非常费时。本文提出一种新型的频率特性测量算法,对系统的输入输出信号进行高速采样,然后采用曲线拟合技术求取对应的频率特性数据。与传统测量方法相比,当输出信号中含有高斯噪声及高次谐波时,该方法能有效的提高测量精度。仿真结果表明了该方法的有效性。更多还原

【Abstract】 The identified precision of system’s parameters, as well as the accuracy of system’s mathematical model, is directly affected by the measuring results of system frequency characteristic, especially at low frequency range. When traditional method is used for measurement at low frequency range, measuring precision can not be guaranteed and measuring is time-consuming. In this paper, a novel measuring algorithms is presented, it firstly sampled input-output signal with high rate, then utilizes real time curving fitting techniques. In comparison with other methods, the proposed algorithms can effectively improve the measuring precision in the presence of Gauss noise and harmonic disturbance. Simulation results have shown the effectiveness of the proposed scheme.更多还原