A rate-dependent KP modeling and direct compensation control technique for hysteresis in piezo-nanopositioning stages | |
R. Xu; D. Tian and M. Zhou | |
刊名 | Journal of Intelligent Material Systems and Structures
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2022 | |
卷号 | 33期号:5页码:629-640 |
ISSN号 | 1045389X |
DOI | 10.1177/1045389X211023583 |
英文摘要 | 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. |
URL标识 | 查看原文 |
内容类型 | 期刊论文 |
源URL | [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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