The Application of Robust Multivariable Observer in Tandem Cold Mills

Tandem-cold-mills is a complex multivariable process in which the thickness, hardness and crown of the strip can usually not be measured due to the measure meters out of function and the hostile environment. This paper proposed a novel multivariable observer which is robustly stable for changes to the mill modulus while still providing high observed states accuracy. The performance and stability of the multivariable observer are analyzed and the benefit of the multivariable observer is demonstrated using a simulation and paved the way to the production of an advanced multivariable controller.

[1]  M. Darouach,et al.  Observers design for a class of nonlinear systems with time-varying delay , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[2]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[3]  Irena Lasiecka,et al.  Extended algebraic Riccati equations in the abstract hyperbolic case , 2000 .

[4]  Wang Zicai.  Observer Design for a Class of Nonlinear Systems , 1998 .

[5]  D. Luenberger.  An introduction to observers , 1971 .

[6]  G. Hearns,et al.  Hot strip mill multivariable mass flow control , 2004 .

[7]  Yeng Chai Soh,et al.  Synthesis of stable H∞ controller via the chain scattering framework , 2002, Syst. Control. Lett..

[8]  Wai-Chuen Gan.  Robust and optimal control of AC machines , 2001 .