Online Gain Tuning Method of Roll Force AGC in Hot Strip Mills by Using Fuzzy Logic(Systems and Control)
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概要
- 論文の詳細を見る
Gains of a roll force AGC (Automatic Gain Controller) have been calculated at the first locked-on-time by FSU (Finishing-mill Set-Up model) in hot strip mills and usually these values are not adjusted during the operating time. Consequently, this conventional scheme cannot cope with the continuous variation of system parameters and circumstance, though the gains can be changed manually with the aid of experts to prevent a serious situation such as inferior mass production. Hence, partially uncontrolled variation still remains on delivery thickness. This paper discusses an effective online algorithm which can adjust the gains of the existing control system by considering the effect of time varying variables. This algorithm improves the performance of the system without additional cost and guarantees the stability of the conventional system. Specifically, this paper reveals the major factors that cause the variation of strip and explores the relationship between AGC gains and the effects of those factors through the analysis of thickness signal which occupy different frequency bands. The proposed tuning algorithm is based on the above relationship and realized through ANFIS (Adaptive-Neuro-based Fuzzy Interface System) which is a very useful method because its fuzzy logics reflect the experiences of professionals about the uncertainty and the nonlinearity of the system. The effectiveness of the algorithm is shown by several simulations which are carried out by using the field data of POSCO corporation (South Korea).
- 社団法人電子情報通信学会の論文
- 2007-06-01
著者
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Kim Sang
Faculty Of Dept. Of Electronic And Electric Engineering Postech
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Lee Young
Dept. Of Information And Communications Gwangju Institute Of Science And Technology
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Kim Sang
Faculty Of Applied Biology And Horticulture Sunchon National University
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Jang Yu
Department Of Information And Communication Engineering Dongguk University
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Kim Sang
Department Of Electronic And Electrical Engineering Pohang University Of Science And Technology
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JANG Yu
Faculty of Dept. of Information and Communication Eng., Dongguk University
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Lee Young
Dept. Of Agronomy Seoul National University
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Lee Young
Department Of Electronic And Electrical Engineering Pohang University Of Science And Technology
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