Title :
System identification of the linac RF system using a wavelet method and its applications in the SNS LLRF control system
Author :
Wang, Yi-Ming ; Kwon, Sung-il ; Regan, Amy ; Rohlev, Tony
Author_Institution :
Los Alamos Nat. Lab., NM, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
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
Keywords :
Fourier transforms; Haar transforms; accelerator RF systems; accelerator cavities; accelerator control systems; adaptive signal processing; linear accelerators; neutron sources; proton accelerators; wavelet transforms; Fourier transform; Haar function; SNS LLRF control system; Spallation Neutron Source; adaptive feed-forward algorithm; frequency domain; linac RF system; linear accelerator; pulsed operation conditions; real time system; repetitive disturbance; system transfer function; time domain; time domain system response; wavelet method; Control system synthesis; Control systems; Feedforward systems; Frequency domain analysis; Function approximation; Linear particle accelerator; Radio frequency; System identification; Uncertainty; Wavelet analysis;
Conference_Titel :
Particle Accelerator Conference, 2001. PAC 2001. Proceedings of the 2001
Print_ISBN :
0-7803-7191-7
DOI :
10.1109/PAC.2001.986765
