Robust decoupling mixed sensitivity controller design of looper control system for hot strip mill process

This article considers a robust decoupling controller design for a multivariate control system with parameter uncertainties for the hot rolling mill process. The left and right coprime factorization theory is used to properly select the free and weighting matrices. The necessary and sufficient conditions for robust decoupling controller are also proposed. Then, by analyzing the changes in the dynamic response resulting from perturbations in the tension and angle system parameters in the hot strip rolling process, a modified multivariate model is developed. Furthermore, the selection method for a practical weighting function is studied, so that the robust and decoupling performance can be simultaneously realized for the controller implementation. Finally, the effectiveness of the proposed control approach is demonstrated using a case study from an industrial hot rolling mill

Use Of Advanced Control With Virtual Rolling To Improve The Control Of The Threading Of The Tandem Hot Metal Strip Mill

Previously our work has investigated the use of a state dependent Riccati equation (SDRE) based method for the control of a fully threaded tandem hot metal strip mill, with highly successful results. We present in this paper the results of further work wherein the SDRE method is combined with a virtual processing technique to greatly simplify the control of the threading phase of the tandem hot strip mill. This initial work also has been highly successful, with a strong potential for extension to other industrial process