Research on Paper Roll Deviation Control System Based on RBF Neural Network Sliding Module Control
The servo correction control system was designed with RBF neural network through the establishment of its dynamic model.Using MATLAB/Simulink simulation software to simulate,and combining with experimental verification,the dynamic performance of the system was analyzed to obtain the response curve.The results showed that the deviation was reduced from 1.5 mm to 0.55 mm at the paper pulling speed of 65 mm/s,and the displacement and speed tracking error were small.
paper rolldeviation controlRBF neural networksliding module controlMATLAB/Simulinkdynamic performance
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