An ADRC Parameters Self-Tuning Control Strategy of Tension System Based on RBF Neural Network

High precision control of substrate tension is the premise and guarantee for producing high-quality products in roll-to-roll coating machine. However, complex relationships system make problems decoupling difficult to be solved, which has limited improvement accuracy Therefore, an ADRC parameters self-tuning strategy based on RBF neural network proposed improve this paper. Firstly, a global coupling nonlinear model established according composition machine, linearized first-order Taylor formula. Secondly, linear system, algorithm by integrating feedforward control, RBF. Finally, simulation results show that good performance effectively improves