Tandem Cold Metal Rolling Mill Control explores an 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.

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.

Showcases the latest research in the control of an important set of large-scale nonlinear systems Shows the industrial metal processing practitioner new methods for increasing robustness to disturbance and process uncertainty, raising product quality Provides comparative treatment of the plusses and minuses of classical and advanced methods of cold rolling control

Autorentext

Dr John Pittner, is a researcher at the University of Pittsburgh. He gained his PhD in electrical engineering from the University of Pittsburgh in 2006. He is a registered Professional Engineer through the Commonwealth of Pennsylvania. He is the lead author of over 45 peer-reviewed conference and archival journal papers on control of metals processing, as well as the book Tandem Cold Metal Rolling Mill Control Using Practical Advanced Methods. He received the US National Science Foundation research grant for investigation of novel control method for tandem hot metal strip mills and owns 4 US patents on control of metals processing applications. He is a peer reviewer for over 40 technical conference and journal papers including IEEE Industry Application Society Transactions, the Journal of Process Control, and Automatica. Professor Marwan A. Simaan is the Florida 21st Century Chair and Distinguished Professor of Electrical Engineering and Computer Science at the University of Central Florida, and former Chair and Bell of PA/Bell Atlantic Professor of Electrical Engineering at the University of Pittsburgh. He received his PhD in EE from the University of Illinois at Urbana-Champaign in 1972. His research covers a broad spectrum of topics in control, optimization, and signal processing and has been funded mostly by NSF, DARPA, AFOSR, ONR, and a variety of industrial sources including Gulf Oil and Alcoa. His publications include 5 books, 145 archival journal papers and 245 conference papers. He is a member of US National Academy of Engineering (NAE), a Life Fellow of the IEEE, and a Fellow of the National Academy of Inventors. He is a Distinguished Alumnus and a recipient of the Award for Distinguished Service in Engineering at the University of Illinois. Dr. Simaan is a registered Professional Engineer in the Commonwealth of Pennsylvania.

Klappentext
The tandem rolling of cold metal strip is a large, highly complex nonlinear multivariable process the control of which poses a significant engineering challenge. Existing controllers have proven to be susceptible to disturbances and uncertainties in process variables and attempts to increase robustness to these phenomena have had their own drawbacks so a new approach is needed. Tandem Cold Metal Rolling Mill Control deals primarily with a novel and practical advanced method for control of the tandem cold metal rolling processes based on the state-dependent Riccati equation technique which is recently emerging as a useful method for control of complex nonlinear systems. Background material is presented to assist the reader with a general control background to appreciate the significance and practical advantages of the new advanced control scheme over conventional and more recently proposed advanced techniques. A short history of tandem cold rolling is followed by descriptions of various types of cold rolling processes and a basic mathematical model of the process. The diverse conventional and advanced control methods and their advantages and disadvantages are compared, and a detailed treatment of the theoretical and practical aspects of the state-dependent algebraic Riccati equation technique given. The specific details of the new procedure are described in a manner not requiring detailed expertise in the control of tandem cold rolling. The results of simulations performed to verify the control model and overall system performance with the new controller coupled to the process model are included. Simulation results and data derived from actual operating mills are compared so as to make concrete the improvements in performance using the new method. Additionally, material is included which shows the new technique to be capable of extension to the control of a broad range of large-scale complex nonlinear processes. Engineers working with control systems in the metal processing industries will find that the advanced control ideas promulgated here will be of considerable benefit in increasing the robustness of their systems and, therefore, the quality of their products. Tandem Cold Metal Rolling Mill Control also will be useful to academics and graduate students interested in advanced automatic control and its practical application and in the uses of the state-dependent Riccati equation in particular.

Inhalt

Introduction.- Cold Mill Types.- Mathematical Modeling.- Control Techniques.- Simulations.- Broader Impacts Beyond Tandem Cold Rolling.- Comments and Conclusion.