LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay
文献类型:期刊论文
作者 | Qi Wu; Li Yu; Yao-Wei Wang; Wen-An Zhang |
刊名 | IEEE/CAA Journal of Automatica Sinica
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出版日期 | 2020 |
卷号 | 7期号:4页码:1116-1123 |
关键词 | Active-disturbance rejection controller extended state observer networked motion control system (NMCS) time-varying delays |
ISSN号 | 2329-9266 |
DOI | 10.1109/JAS.2020.1003264 |
英文摘要 | The position synchronization control (PSC) problem is studied for networked multi-axis servo systems (NMASSs) with time-varying delay that is smaller than one sampling period. To improve the control performance of the system, time-varying delays, modeling uncertainties, and external disturbances are first modeled as a lumped disturbance. Then, a linear extended state observer (LESO) is devised to estimate the system state and the lumped disturbance, and a linear feedback controller with disturbance compensation is designed to perform individual-axis tracking control. After that, a cross-coupled control approach is used to further improve synchronization performance. The bounded-input-bounded-output (BIBO) stability of the closed-loop control system is analyzed. Finally, both simulation and experiment are carried out to demonstrate the effectiveness of the proposed method. |
源URL | [http://ir.ia.ac.cn/handle/173211/43018] ![]() |
专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
推荐引用方式 GB/T 7714 | Qi Wu,Li Yu,Yao-Wei Wang,et al. LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(4):1116-1123. |
APA | Qi Wu,Li Yu,Yao-Wei Wang,&Wen-An Zhang.(2020).LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay.IEEE/CAA Journal of Automatica Sinica,7(4),1116-1123. |
MLA | Qi Wu,et al."LESO-based Position Synchronization Control for Networked Multi-Axis Servo Systems With Time-Varying Delay".IEEE/CAA Journal of Automatica Sinica 7.4(2020):1116-1123. |
入库方式: OAI收割
来源:自动化研究所
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