Title :
Neural networks for process control of flat film extrusion systems
Author :
Baginski, Stefan M. ; Kochs, H.-D.
Author_Institution :
Dept. of Tech. Comput. Sci., Gerhard-Mercator-Univ., Duisburg, Germany
Abstract :
Focuses on the improvement of an existing nonlinear control system with neural nets. Crucial for the successful exploitation of the improvement potential is the neural networks´ outstanding capability for online adaption and the possibility of combining neural networks with existing physical or mathematical models. The primary result is an improved process modelling which allows process model adaption. Using the described capabilities, a predictive feedforward control/feedback control (FFC/FFB) has been developed to overcome the greatest problems in processes with long delay times. The corresponding installation is a flat film extrusion system to produce polymer sheets. Simulation results point out that optimized process control in flat film production can lead to significant material savings as well as significant improvements in product quality
Keywords :
adaptive control; extrusion; feedforward neural nets; neurocontrollers; nonlinear control systems; optimal control; plastics industry; polymer films; predictive control; process control; recurrent neural nets; adaptive process control; flat film extrusion systems; long delay times; material savings; mathematical models; neural networks; nonlinear control system; nonlinear system modelling; online adaption; optimized process control; physical models; polymer sheets; predictive feedback control; predictive feedforward control; process model adaption; process modelling; product quality improvements; simulation; Computer science; Control systems; Geometry; Mathematical model; Neural networks; Polymer films; Predictive models; Process control; Sheet materials; Thickness control;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1997. KES '97. Proceedings., 1997 First International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3755-7
DOI :
10.1109/KES.1997.619440
