An Initial Model for Control of a Tandem Hot Metal Strip Rolling Process

    Authors

    J. Pittner;M. A. Simaan

    Comments

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    Abbreviated Journal Title

    IEEE Trans. Ind. Appl.

    Keywords

    Multiple-input-multiple-output control; rolling mill control; state-dependent Riccati equation (SDRE); tandem hot metal rolling; Engineering, Multidisciplinary; Engineering, Electrical & Electronic

    Abstract

    The tandem rolling of hot metal strip presents a significant control challenge because of nonlinearities and process complexities. The challenge is heightened by an extremely hostile environment that precludes the location of sensors to measure process variables that are important for control. In addition, it is essential that the controller structure allows for a high degree of physical intuition in the design process and provides for simplicity of tuning during commissioning. Based on our previous work using a state-dependent Riccati equation (SDRE) technique for control of the tandem cold rolling process, it is considered that a similar method might also be useful as a basis for the development of a control technique for tandem hot strip rolling. For the hot rolling process, the development of a process model in a form that is suitable for use with a SDRE-based method is a significant and challenging task. This paper describes our work to develop an initial model for this process. Based on simulation results, it is determined that this initial model has the potential to be the basis for the development of the complete nonlinear model that can be used for development of a viable control method which offers the likelihood for improvement in the control of the hot metal rolling process.

    Journal Title

    Ieee Transactions on Industry Applications

    Volume

    46

    Issue/Number

    1

    Publication Date

    1-1-2010

    Document Type

    Article; Proceedings Paper

    Language

    English

    First Page

    46

    Last Page

    53

    WOS Identifier

    WOS:000273771700007

    ISSN

    0093-9994

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