Study on Horizontal Vibration Suppression of Rolling Mill Based on a Novel Adaptive Super-Twisting Algorithm and Sliding Mode Disturbance Observer

To improve the quality of rolled products and suppress vibrations induced by harmonic torque, rolling force, and disturbances, a composite control method based on a novel adaptive super-twisting algorithm (NASTA) and a sliding mode disturbance observer (SMDO) is proposed. A dynamic model of the horizontal vibration of the work roll is established, taking into account the effects of harmonic torque and rolling force. To address the issues of excessive control input and chattering commonly found in conventional super-twisting algorithms, an adaptive law is introduced to dynamically adjust the control gain. The improved algorithm is implemented in the displacement controller of the work roll. Meanwhile, a sliding mode disturbance observer is designed to estimate the total system disturbance in real time, and the estimated disturbances are dynamically compensated into NASTA to enhance the system's robustness. Theoretical analysis, comparative simulations, and experimental results demonstrate that the proposed NASTA+SMDO composite control strategy offers improved dynamic performance and stronger robustness. It significantly enhances position tracking accuracy and enables fast and stable trajectory tracking of the system.