| Preisach迟滞模型分类排序法的神经网络实现 |
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| 引用本文： | 耿洁,刘向东,赖志林,陈振.Preisach迟滞模型分类排序法的神经网络实现[J].北京理工大学学报,2010(S1):148-152. |
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| 作者姓名： | 耿洁 刘向东 赖志林 陈振 |
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| 作者单位： | 北京理工大学 自动化学院, 北京 100081;北京理工大学 自动化学院, 北京 100081;北京理工大学 自动化学院, 北京 100081;北京理工大学 自动化学院, 北京 100081 |
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| 基金项目： | 国家自然科学基金资助项目(10872030);国家教育部高等学校博士学科点专项科研基金资助课题(20091101110025) |
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| 摘 要： | 针对非线性系统的迟滞特性开展建模研究,提出了一种Preisach模型分类排序法的神经网络实现方法,据此对压电陶瓷执行器纳米定位系统的迟滞非线性进行建模. 兼顾到迟滞的擦除特性和建模的精确度,建立BP神经网络求取收缩函数,避免了插值法求收缩函数值带来的插值误差. 实验结果表明,神经网络分类排序实现方法有效提高了Preisach模型的精度,减小了模型的误差.
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| 关 键 词： | 迟滞 Preisach模型 分类排序法 神经网络 |
| 收稿时间： | 2010/3/30 0:00:00 |
The Neural Network Realization of Preisach Hysteresis Model Using Sorting &Taxis Method |
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| GENG Jie,LIU Xiang-dong,LAI Zhi-lin and CHEN Zhen.The Neural Network Realization of Preisach Hysteresis Model Using Sorting &Taxis Method[J].Journal of Beijing Institute of Technology(Natural Science Edition),2010(S1):148-152. |
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| Authors: | GENG Jie LIU Xiang-dong LAI Zhi-lin and CHEN Zhen |
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| Affiliation: | School of Automation, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China;School of Automation, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | The hysteresis modeling of nonlinear system is studied in this paper. A new sorting & taxis model of hysteresis is realized using neural network to describe the hysteresis of the piezoceramic actuator. Taking both the wiping-out property and the precision into consideration, a BP neural networks is proposed to solve function F. In this way the error resulting from interpolation is avoided. The modeling experiment of the piezoelectric ceramic is realized by the network. The results of experiments prove that the sorting & taxis scheme using neural network effectively improves the precision and reduces the error of the model. |
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| Keywords: | hysteresis Preisach modeling sorting & taxis neural networks |
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