DocumentCode :
2086029
Title :
Approximate feedforward control
Author :
Li, Xian ; Wang, Qing-Guo ; Cai, Wen-Jian
Author_Institution :
Department of Electrical & Computer Engineering, National University of Singapore, Singapore, 117576
fYear :
2015
fDate :
May 31 2015-June 3 2015
Firstpage :
1
Lastpage :
6
Abstract :
Disturbances are inevitable in most control systems. They drive the systems away from their set points. It takes time for feedback control to reject them. The feedforward control offers great potentials for regulation performance if the disturbances are measurable. One obstacle for feedforward control implementation is that the theoretical one is unrealizable for various reasons. In this paper, a new feedforward control design approach based on frequency response approximation is proposed and performs much better than the existing method in the literature. A performance measure is defined to assess if the feedforward control can outperform feedback control alone and analytical conditions are derived to determine such a measure a prior. Simulation is presented for illustration of our method.
Keywords :
Approximation algorithms; Approximation methods; Cost function; Feedback control; Feedforward neural networks; Frequency response; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2015 10th Asian
Conference_Location :
Kota Kinabalu, Malaysia
Type :
conf
DOI :
10.1109/ASCC.2015.7244555
Filename :
7244555
Link To Document :
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