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实际的工业系统中,时域数据较容易得到,但获取系统的频率特性往往比较麻烦。将阶跃输入信号及其输出响应经LCR带通滤波器后,利用LCR滤波器产生的对应数据获取了模型的频域特性,并与理论结果对比,误差较小,从而证明了此方法的有效性。在此基础上,检验了其抗干扰能力,效果较佳。此外,将LCR方法应用到火电厂热工过程的模型辨识中,辨识模型与实际采样数据拟合效果较好,从而间接证明了该方法的可行性。因此,该方法可作为频域分析、辨识等的有效方法。
In the real industrial system, time-domain data is easier to obtain, but it is often troublesome to obtain the frequency characteristics of the system. After the step input signal and its output response are filtered by the LCR band-pass filter, the frequency-domain characteristics of the model are obtained by using the corresponding data generated by the LCR filter. Compared with the theoretical results, the error is small, which proves the effectiveness of this method Sex. On this basis, the test of its anti-interference ability, the better. In addition, the application of LCR method to the thermal power plant thermal model identification, the identification model and the actual sampling data fitting effect is better, which indirectly proves the feasibility of the method. Therefore, this method can be used as an effective method for frequency domain analysis, identification and so on.