Author Abe, Yoshihiro|
Published Date 2009-03-25
Publication Title
Content Type Thesis or Dissertation
JaLCDOI 10.18926/14098
FullText URL Mem_Fac_Eng_OU_40_1_16.pdf
Author Abe, Yoshihiro| Konishi, Masami| Nishi, Tatsushi| Imai, Jun|
Abstract In this study, auto tuning of PID control gains in hot strip looper controller is made based on RNN model. Neuro emulator is employed to model the characteristics of looper dynamics. Combining neuro emulator and RNN model, auto tuning system of PID control gains is constructed. As the inputs to RNN, plural evaluation functions which reflect individual preference of human experts. Further, Self learning mechamism is embeded to RNN model which enables adaptation to the change in rolling chracteristics. Through numerical experiments, the effect of the proposed method is ascertained.
Publication Title Memoirs of the Faculty of Engineering, Okayama University
Published Date 2006-01
Volume volume40
Issue issue1
Start Page 16
End Page 22
ISSN 0475-0071
language 英語
File Version publisher
NAID 120002308615