On anti-aliasing filtering and over-sampling scheme in system identification

On anti-aliasing filtering and over-sampling scheme in system identification
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系统辨识中的抗混叠滤波和过采样方案

DOI:
10.1016/j.compchemeng.2017.07.010
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发表时间:
2017-11
影响因子:
4.3
通讯作者:
Hjalmarsson Hakan
Hjalmarsson Hakan
中科院分区:
工程技术2区
文献类型:
--
作者:
Fang Mengyuan;Zhu Yucai;Hjalmarsson Hakan

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在这项工作中,两个基本问题,在系统识别,采样频率和抗混叠滤波重新审视,问题一样,“更高的采样频率可以帮助提高模型精度?",以及“我们能做得比抗混叠滤波更好吗?”会得到回应首先,它表明,传统的抗混叠滤波过程不给所需的模型的一致的估计。然后提出了一种基于过采样方案的辨识方法,该方法首先辨识高频模型,然后将其转换为(较低的)控制采样频率。仿真结果表明,当输出噪声能量超过被控对象带宽时,该方法在开环和闭环辨识中都能实现抗混叠;在闭环辨识中,则从高频噪声中获得额外激励。模拟研究被用来说明的结果。该结果在控制应用中具有重要意义。
In this work, two fundamental issues in system identification, sampling frequency and anti-aliasing filtering are revisited, questions like, “Can higher sampling frequency help increase model accuracy?”, and, “Can we do better than anti-aliasing filtering?” will be answered. First it is shown that, the traditional anti-aliasing filtering procedure does not give a consistent estimate of the desired model. Then an identification method is proposed based on the over-sampling scheme where a high frequency model is first identified and then converted to the (lower) control sampling frequency. It is shown that when the output noise contains energy beyond the bandwidth of the plant, the proposed method performs anti-aliasing in both open-loop and closed-loop identification; and in closed-loop identification, extra excitation is achieved from the high frequency noise. Simulation studies are used to illustrate the findings. The result has important implications in control applications.
DOI: 10.1109/tac.1985.1104093
发表时间: 1984-12
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