Adaptive neural torsional vibration suppression of the rolling mill main drive system subject to state and input constraints with sensor errors

• Published in: Journal of the Franklin Institute Vol. 357; no. 17; pp. 12886 - 12903
• Main Authors: Qian, Cheng, Hua, Changchun, Zhang, Liuliu, Bai, Zhenhua
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.11.2020; Elsevier Science Ltd
• Subjects: Actuators; Adaptive algorithms; Adaptive control; Algorithms; Computer simulation; Continuity (mathematics); Control equipment; Control theory; Damping; Error functions; Liapunov functions; Motors; Neural networks; Nonlinear systems; Parameter uncertainty; Rolling mills; Service life; Torsional vibration; Vibration; Vibration control

Torsional vibration often occurs in rolling mill drive system, which seriously affects the product quality accuracy and the service life of transmission equipment. This paper studies the adaptive neural torsional vibration suppression control problem for the rolling mill main drive system with state...