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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Realtime nonlinear model predictive control of a glass forming process using a finite element model
 Hömberg, Dietmar (Ed.) ; International Federation for Information Processing IFIP, Technical Committee 7, System Modelling and Optimization: System modeling and optimization. 25th IFIP TC 7 Conference 2011. Revised selected papers : CSMO 2011, Berlin, Germany, September 12  16, 2011 Berlin: Springer, 2013 (IFIP advances in information and communication technology 391) ISBN: 9783642360619 ISBN: 9783642360626 ISBN: 3642360610 S.266275 
 International Federation for Information Processing, Technical Committee System Modelling and Optimization (CSMO) <25, 2011, Berlin> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer IOSB () 
Abstract
The control of complex forming processes (e.g., glass forming processes) is a challenging topic due to the mostly strongly nonlinear behavior and the spatially distributed nature of the process. In this paper a new approach for the realtime control of a spatially distributed temperature profile of an industrial glass forming process is presented. As the temperature in the forming zone cannot be measured directly, it is estimated by the numerical solution of the partial differential equation for heat transfer by a finite element scheme. The numerical solution of the optimization problem is performed by the solver HQP (Huge Quadratic Programming). In order to meet realtime requirements, in each sampling interval the full finite element discretization of the temperature profile is reduced considerably by a spline approximation. Results of the NMPC concept are compared with conventional PI control results. It is shown that NMPC stabilizes the temperature of the forming zone much better than PI control. The proposed NMPC scheme is robust against model mismatch of the disturbance model. Furthermore, the allowed parameter settings for a realtime application (i.e., control horizon, sampling period) have been determined. The approach can easily be adapted to other forming processes where the temperature profile shall be controlled.