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System identification of the linac RF system using a wavelet method and its applications in the SNS LLRF control system

机译:小波方法对直线加速器射频系统的系统识别及其在SNS LLRF控制系统中的应用

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For a pulsed LINAC such as the SNS, an adaptive feed-forward algorithm plays an important role in reducing the repetitive disturbance caused by the pulsed operation conditions. In most modern feed-forward control algorithms, accurate real time system identification is required to make the algorithm more effective. In this paper, an efficient wavelet method is applied to the system identification in which the Haar function is used as the base wavelet. The advantage of this method is that the Fourier transform of the Haar function in the time domain is a sinc function in the frequency domain. Thus we can directly obtain the system transfer function in the frequency domain from the coefficients of the time domain system response.
机译:对于诸如SNS之类的脉冲LINAC,自适应前馈算法在减少由脉冲操作条件引起的重复干扰中起着重要作用。在大多数现代前馈控制算法中,需要精确的实时系统识别以使算法更有效。本文将一种有效的小波方法应用于以Haar函数为基础小波的系统识别中。该方法的优点是时域中Haar函数的傅立叶变换是频域中的Sinc函数。因此,我们可以从时域系统响应的系数中直接获得频域中的系统传递函数。

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