New kind of generalized Preisach hysteresis model and its identification based on neural network

Xiang Dong Liu; Yu Liu; Li Li

New kind of generalized Preisach hysteresis model and its identification based on neural network

Xiang Dong Liu^*
, Yu Liu
, Li Li

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

The multi-valued-mapping hysteresis nonlinearity of the piezoceramic actuator seriously degrades the scale accuracy when used in the nanometer positioning system. Based on the classical Preisach model, this paper presents a kind of generalized Preisach model by introducing an average hysteresis function. Then the neural networks are used to identify the key parameters of the model. The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.

源语言	英语
页（从-至）	135-138
页数	4
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	27
期	2
出版状态	已出版 - 2月 2007

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链接到 Scopus 的出版物

引用此

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abstract = "The multi-valued-mapping hysteresis nonlinearity of the piezoceramic actuator seriously degrades the scale accuracy when used in the nanometer positioning system. Based on the classical Preisach model, this paper presents a kind of generalized Preisach model by introducing an average hysteresis function. Then the neural networks are used to identify the key parameters of the model. The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.",

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N2 - The multi-valued-mapping hysteresis nonlinearity of the piezoceramic actuator seriously degrades the scale accuracy when used in the nanometer positioning system. Based on the classical Preisach model, this paper presents a kind of generalized Preisach model by introducing an average hysteresis function. Then the neural networks are used to identify the key parameters of the model. The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.

AB - The multi-valued-mapping hysteresis nonlinearity of the piezoceramic actuator seriously degrades the scale accuracy when used in the nanometer positioning system. Based on the classical Preisach model, this paper presents a kind of generalized Preisach model by introducing an average hysteresis function. Then the neural networks are used to identify the key parameters of the model. The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.

KW - Average hysteresis function

KW - Neural network

KW - Piezoceramic actuator

KW - Preisach function

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New kind of generalized Preisach hysteresis model and its identification based on neural network

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