Iterative Learning with Adaptive Sliding Mode Control for Trajectory Tracking of Fast Tool Servo Systems

被引：2

作者：

Xu, Xiuying ^{[1
]}

Liu, Pengbo ^{[1
,2
]}

Lu, Shuaishuai ^{[1
,2
]}

Wang, Fei ^{[1
,2
]}

Yang, Jingfang ^{[1
,2
]}

Xiao, Guangchun ^{[1
,2
]}

机构：

[1] Qilu Univ Technol, Shandong Acad Sci, Sch Mech Engn, Jinan 250353, Peoples R China

[2] Shandong Inst Mech Design & Res, Jinan 250031, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 09期

关键词：

fast tool servo; sliding mode control; iterative learning control; robustness; DESIGN;

D O I：

10.3390/app14093586

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

To address the tracking control problem of the periodic motion fast tool servo system (FTS), we propose a control method that combines adaptive sliding mode control with closed-loop iterative learning control. Adaptive sliding mode control enhances the system's robustness to external non-repetitive disturbances, and exponential gain iterative learning control compensates for the influence of periodic disturbances such as cutting force. The experimental results show that the proposed iterative learning controller based on adaptive sliding mode control can effectively eliminate the influence of various interference factors, achieve accurate tracking of the FTS system's motion trajectory within a limited number of iterations, and ensure the stability of the system, which has the advantages of a fast convergence speed, high tracking accuracy, and strong robustness.

引用

页数：19

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