Abstract
This paper describes the mathematical modeling and control of the tension and the speed of moving web in a web-fed machine. In this paper the web control system is structured as a two-input and two-output system. To lessen the effects of system uncertainties, such as system parameters, unmodeled errors, and external disturbance uncertainties in the web control system, a sliding mode control (SMC) is proposed, with an estimator based on a recurrent neural network, which is applied to estimate system uncertainties. Some simulation results are presented to show that the proposed control scheme is feasible for a web-fed machine.
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