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A Variable-Parameter-Model-Based Feedforward Compensation Method for Tracking Control
Dailin Zhang; Zining Wang; Masayoshi Tomizuka
发表期刊IEEE/CAA Journal of Automatica Sinica
ISSN2329-9266
2020
卷号7期号:3页码:693-701
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.
关键词Disturbance observer feedforward compensation iterative learning control parameter identification system model
DOI10.1109/JAS.2020.1003135
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被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/42980
专题学术期刊_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.
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