Abstract
A mathematical model of a rolling mill is produced using models of its constituent components based on physical laws. These models are combined to form a nonlinear model for the whole rolling mill process. In order to design control systems for rolling mill, a multidimensional set of nonlinear differential equations is linearized and the behavior of the resulting linear differential equations are compared with the response of the nonlinear model. This was done by simulations in which the gap opening and the rolling speed were varied and their effect on gap opening and the inter-strip length variation.
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Nzioki, M.M. (2015). Modeling a Cold Rolling Mill for Optimization. In: Sobh, T., Elleithy, K. (eds) Innovations and Advances in Computing, Informatics, Systems Sciences, Networking and Engineering. Lecture Notes in Electrical Engineering, vol 313. Springer, Cham. https://doi.org/10.1007/978-3-319-06773-5_37
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DOI: https://doi.org/10.1007/978-3-319-06773-5_37
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