中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control

文献类型:期刊论文

作者Dailin Zhang; Zining Wang; Masayoshi Tomizuka
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2020
卷号7期号:3页码:693-701
关键词Disturbance observer feedforward compensation iterative learning control parameter identification system model
ISSN号2329-9266
DOI10.1109/JAS.2020.1003135
英文摘要Base on the accurate inverse of a system, the feedforward compensation method can compensate the tracking error of a linear system dramatically. However, many control systems have complex dynamics and their accurate inverses are difficult to obtain. In the paper, a variable parameter model is proposed to describe a system and a multi-step adaptive seeking approach is used to obtain its parameters in real time. Based on the proposed model, a variable-parameter-model-based feedforward compensation method is proposed, and a disturbance observer is used to overcome the influence of the model uncertainty. Theoretical analysis and simulation results show that the variable-parameter-model-based feedforward compensation method can obtain better performance than the traditional feedforward compensation.
源URL[http://ir.ia.ac.cn/handle/173211/42980]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Dailin Zhang,Zining Wang,Masayoshi Tomizuka. A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(3):693-701.
APA Dailin Zhang,Zining Wang,&Masayoshi Tomizuka.(2020).A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control.IEEE/CAA Journal of Automatica Sinica,7(3),693-701.
MLA Dailin Zhang,et al."A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control".IEEE/CAA Journal of Automatica Sinica 7.3(2020):693-701.

入库方式: OAI收割

来源:自动化研究所

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