8332

7730

كارشناسي ارشد

كنترل

اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر

1392

ده،95ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

جعفر قيصري

مرضيه كمالي

3/10/92

مهندسي برق و كامپيوتر

ID7730

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Mathematical Model Improvement of the Roll Force Control System with Linear Identification in the Process of Tandem Mill Sayed Mohamad Saber Fadaky Sm fadaki@ec iut ac ir Date of Submission 2013 9 22 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language Farsi Supervisor J Ghaisari ghaisari@cc iut ac ir Advisor M Kamali m kamali@cc iut ac ir Abstract Recent developments in rolling process in steel industry are leading to more complexity in these systems Rolling out with less force and power as well as providing a high quality product is the goal of researchers and new ideas in this field has been introduced Five stand tandem mill is one of the types of equipments which is used for rolling With exerting appropriate force in the stands steel sheet is deformed and its thickness is reduced This force is determined by the second level in cold rolling process automation In other words there is a model in the second level of the cold rolling process which estimates the appropriate force for the rolling process and transmits it as the set point to the first level Different theories and models have been proposed for the calculation of the rolling force In some models the approximations are used for modeling which Decreases the accuracy of the calculations Factors such as rolls erosion inaccuracy in measuring roll flattening and using lubricant between the rolls and steel increases error in the estimates of the rolling force In other words the system and process parameters are changed over time which cause to decrease the accuracy of the reference value A correction factor is required to compensate these errors which adapt itself to system changes and new conditions and provide a better estimate of the rolling force In this thesis it has been used More accurate models and adaptive correction coefficient to reduce the modeling errors and compensate changes in system New adaptive correction coefficient has been added to the mathematical model in rolling force control system which used to estimate the next coil rolling force Gradient method has been proposed for the identification and adaptation of the correction coefficient with process changes and new conditions To verify the proposed coefficient and the estimation rolling force the recorded data in the first level automation is used In addition the least square error methods is applied to identify and adapt the correction coefficient Diagram of the relative error shows the effect of correction coefficient for improving the performance of the model In several diagrams the effect of force correction coefficient and its adaptation in improving models is depicted and in another diagram these two methods has been compared Key Words Five stand tandem mill control system Second level in cold rolling process Gradient method Least square error Adaptive correction coefficient roll force estimation in level2 rolling force reference value PDF created with pdfFactory trial version www pdffactory com

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