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http://dx.doi.org/10.9726/kspse.2011.15.5.083

Performance analysis of shape recognition in Senzimir mill control systems  

Lee, M.H. (부산대학교 대학원 기계공학부)
Shin, J.M. (부산대학교 대학원 기계공학부)
Han, S.I. (부산대학교 전자전기공학부)
Kim, J.S. (부산대학교 기계공학부)
Publication Information
Journal of Power System Engineering / v.15, no.5, 2011 , pp. 83-90 More about this Journal
Abstract
In general, 20-high Sendzimir mills(ZRM) use small diameter work rolls to provide massive rolling force. Because of small diameter of work rolls, steel strip has a complex shape mixed with quarter, edge and center waves. Especially when the shape of the strip is controlled automatically, the actuator saturation occurs. These problems affect the productivity and quality of products. In this paper, the problems in automatic shape control of ZRM were analyzed. In order to evaluate the problems for the automatic shape control in ZRM, recognition performance was analyzed by comparing the measured shape and the recognized shape. The actuator positions by the shape recognition and the manual operation were compared. From the analysis results, the necessity of the improvement of recognition performance in ZRM is suggested.
Keywords
ZRM; Shape Control; Recognition Performance; Fuzzy-Neural Network;
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