Backstepping control of rolling mill hydraulic servo position system based on nonsingular fast terminal sliding mode

被引:0
|
作者
Li X.-G. [1 ,3 ]
Fang Y.-M. [1 ,2 ]
Liu L. [1 ]
Lin M.-H. [1 ]
机构
[1] Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao
[2] National Engineering Research Center for Equipment and Technology of Cold Strip Rolling, Qinhuangdao
[3] Information and Automation Department, HBIS Group Tangsteel Company, Tangshan
来源
Li, Xiao-Gang (xgang.li@163.com) | 1649年 / Northeast University卷 / 33期
关键词
Double power reaching law; Fuzzy adaptive observer; Hydraulic servo system of rolling mill; Non singular fast terminal sliding mode; Second-order sliding mode filters;
D O I
10.13195/j.kzyjc.2017.1001
中图分类号
学科分类号
摘要
Aiming at the hydraulic servo position system for asymmetric cylinder rolling mill with nonlinearity, parameter uncertainty and unknown load, a compound control algorithm is designed based on the fuzzy adaptive observer and non singular fast terminal sliding mode in this paper. Firstly, the a backstepping controller is designed based on the non singular fast terminal sliding mode and double power reaching law, and second-order sliding mode filters are constructed to estimate the differential signals of the virtual controls, which can avoid the differential explosion during using the backstepping control effectively. Then, fuzzy adaptive observers are used to approximate the uncertain items in the designed controllers, so as to improve the control precision of the system. Theoretical analysis shows that the closed-loop system is globally asymptotically stable. Finally, simulation is carried out by using the actual data of the hydraulic servo position system of a 650 mm reversing cold rolling mill, and the results show that the proposed control method can enhance the asymptotic tracking performance and robust stability of the system in the whole global process through comparing with the conventional sliding mode control method. © 2018, Editorial Office of Control and Decision. All right reserved.
引用
收藏
页码:1649 / 1656
页数:7
相关论文
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