摘要
针对具有传感器故障、外界扰动和测量时延的冷带轧机液压厚度控制系统,提出基于自适应补偿机制的反步控制策略。首先,将该系统模型转化为严反馈系统,并将系统中的测量延迟转化为输入时延。其次,针对输入时延设计补偿系统并设计自适应补偿机制处理传感器故障。进一步,引入时变正切型障碍Lyapunov函数保证系统的输出误差约束。再次,利用Lyapunov稳定性理论证明系统的半全局一致有界稳定性。最后,利用仿真验证了所设计控制器的有效性。
In view of the external disturbance,the measurement delay and sensor fault in the cold rolling mill hydraulic automatic gauge control(HAGC)system,an adaptive backstepping control scheme is proposed based on compensation mechanism.Firstly,the dynamic model is transformed into a strict feedback form with the external disturbances and the measurement delay is converted into input delay.Secondly,an auxiliary system is developed to compensate for the effect of time delay and a fault compensation mechanism is designed to deal with sensor faults.Then,a time-varying barrier Lyapunov function is introduced to guarantee output error of the system.Thirdly,Lyapunov stability theory is used to prove the semi-global uniformly bounded stability of the system.Finally,the validity of control strategy is verified by simulation.
作者
王建波
王芳
华长春
WANG Jianbo;WANG Fang;HUA Changchun(School of Science,Yanshan University,Qinhuangdao,Hebei 066004,China;School of Electrical Engineering,Yanshan University,Qinhuangdao,Hebei 066004,China)
出处
《燕山大学学报》
CAS
北大核心
2022年第1期46-55,共10页
Journal of Yanshan University
基金
河北省自然科学基金资助项目(F20202031505)。
关键词
输入时延
冷带轧机
神经网络
反步控制
传感器故障
input time delay
cold rolling mill
neural network
backstepping control
sensor fault
