A tension observer and neural networks combination for rewinding systems
Keywords:
Roll to Roll System (R2R), Tension Observer, Radial Basis Function (RBF)Abstract
A tension control problem of a rewinding web handling system is considered in the paper. It is shown that the dynamical response of the web handing system heavily depends on roll inertias. Dissimilar to other works that heavily based on the assumption of cylindrical roll form and roll aligment that leads to easy calculation of roll inertias, the main contribution of the paper is an introduction of a neural network to estimate varying inertias of unwinding and rewinding that cannot be directly computed. In addition, a tension controller based on backstepping controller without using tension sensor from the system. The tracking performance is shown through simulation results.
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