Mem_Fac_Eng_OU_40_1_16.pdf 479 KB
阿部 快洋 Dept. of Electrical and Electronic Engineering Okayama University
小西 正躬 Dept. of Electrical and Electronic Engineering Division of Industrial Innovation Sciences The Graduate School of Natural Science and Technology Okayama University
西 竜志 Dept. of Electrical and Electronic Engineering Division of Industrial Innovation Sciences The Graduate School of Natural Science and Technology Okayama University
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.
Memoirs of the Faculty of Engineering, Okayama University
Faculty of Engineering, Okayama University
|Eprints Journal Name||