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
2022
卷号33期号:5页码:629-640
ISSN号1045389X
DOI10.1177/1045389X211023583
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace