Tandem Cold Metal Rolling Mill Control

Using Practical Advanced Methods

Nonfiction, Science & Nature, Technology, Automation, Manufacturing
Cover of the book Tandem Cold Metal Rolling Mill Control by John Pittner, Marwan A. Simaan, Springer London
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Author: John Pittner, Marwan A. Simaan ISBN: 9780857290670
Publisher: Springer London Publication: December 1, 2010
Imprint: Springer Language: English
Author: John Pittner, Marwan A. Simaan
ISBN: 9780857290670
Publisher: Springer London
Publication: December 1, 2010
Imprint: Springer
Language: English

This book deals with a novel and practical advanced method for control of tandem cold metal rolling processes based on the emerging state-dependent Riccati equation technique. After a short history of tandem cold rolling, various types of cold rolling processes are described. A basic mathematical model of the process is discussed, and the diverse conventional control methods are compared. A detailed treatment of the theoretical and practical aspects of the state-dependent algebraic Riccati equation technique is given, with specific details of the new procedure described and results of simulations performed to verify the control model and overall system performance with the new controller coupled to the process model included. These results and data derived from actual operating mills are compared showing the improvements in performance using the new method. Material is included which shows how the new technique can be extended to the control of a broad range of large-scale complex nonlinear processes.

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This book deals with a novel and practical advanced method for control of tandem cold metal rolling processes based on the emerging state-dependent Riccati equation technique. After a short history of tandem cold rolling, various types of cold rolling processes are described. A basic mathematical model of the process is discussed, and the diverse conventional control methods are compared. A detailed treatment of the theoretical and practical aspects of the state-dependent algebraic Riccati equation technique is given, with specific details of the new procedure described and results of simulations performed to verify the control model and overall system performance with the new controller coupled to the process model included. These results and data derived from actual operating mills are compared showing the improvements in performance using the new method. Material is included which shows how the new technique can be extended to the control of a broad range of large-scale complex nonlinear processes.

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