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	A rate-dependent KP modeling and direct compensation control technique for hysteresis in piezo-nanopositioning stages
	R. Xu; D. Tian and M. Zhou
	2022
发表期刊	Journal of Intelligent Material Systems and Structures
ISSN	1045389X
卷号	33期号:5页码:629-640
摘要	This paper first presents a rate-dependent Krasnoselskii-Pokrovskii (RKP) model to capture the hysteresis of piezo-nanopositioning stages. The dynamic density function of the RKP model is obtained via neural network with frequency behavior input signal. Under the persistently exciting condition, the convergence of the neural network with Krasnoselskii-Pokrovskii (KP) operators is proved rigorously. In order to address the hysteresis issue, a direct compensation control (DCC) approach with the KP compensation operator is proposed, where its dynamic density function is same as that of the RKP model. Some experiments with different reference signals are conducted to verify the effectiveness of the proposed modeling and DCC method on piezo-nanopositioning stages. The Author(s) 2021.
DOI	10.1177/1045389X211023583
URL	查看原文
收录类别	ei
引用统计	被引频次：8[WOS]   [WOS记录]     [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67018
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	R. Xu,D. Tian and M. Zhou. A rate-dependent KP modeling and direct compensation control technique for hysteresis in piezo-nanopositioning stages[J]. Journal of Intelligent Material Systems and Structures,2022,33(5):629-640.
APA	R. Xu,&D. Tian and M. Zhou.(2022).A rate-dependent KP modeling and direct compensation control technique for hysteresis in piezo-nanopositioning stages.Journal of Intelligent Material Systems and Structures,33(5),629-640.
MLA	R. Xu,et al."A rate-dependent KP modeling and direct compensation control technique for hysteresis in piezo-nanopositioning stages".Journal of Intelligent Material Systems and Structures 33.5(2022):629-640.

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