ID | 14098 |
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Sort Key | 3
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FullText URL | |
Author |
Abe, Yoshihiro
Konishi, Masami
Nishi, Tatsushi
Imai, Jun
Kaken ID
researchmap
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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.
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Publication Title |
Memoirs of the Faculty of Engineering, Okayama University
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Published Date | 2006-01
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Volume | volume40
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Issue | issue1
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Publisher | Faculty of Engineering, Okayama University
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Publisher Alternative | 岡山大学工学部
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Start Page | 16
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End Page | 22
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ISSN | 0475-0071
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NCID | AA10699856
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Content Type |
Departmental Bulletin Paper
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OAI-PMH Set |
岡山大学
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language |
English
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File Version | publisher
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NAID | |
Eprints Journal Name | mfe
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