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一种新广义Preisach迟滞模型及其神经网络辨识
引用本文:刘向东,刘宇,李黎.一种新广义Preisach迟滞模型及其神经网络辨识[J].北京理工大学学报,2007,27(2):135-138.
作者姓名:刘向东  刘宇  李黎
作者单位:北京理工大学,信息科学技术学院自动控制系,北京,100081;北京理工大学,信息科学技术学院自动控制系,北京,100081;北京理工大学,信息科学技术学院自动控制系,北京,100081
摘    要:研究压电陶瓷执行器应用于纳米定位系统时,其多值映射的迟滞特性对系统定位控制精度影响.在经典Preisach模型的基础上,引入平均迟滞函数,提出了一种新广义Preisach迟滞模型,并利用神经网络对新广义Preisach模型关键参量辨识.仿真实验表明,利用该迟滞模型对压电陶瓷执行器建模,可以简化建模过程,提高建模精度.

关 键 词:平均迟滞函数  Preisach函数  压电陶瓷执行器  神经网络
文章编号:1001-0645(2007)02-0135-04
收稿时间:2006/4/20 0:00:00
修稿时间:04 20 2006 12:00AM

A New Kind of Generalized Preisach Hysteresis Model and Its Identification Based on Neural Network
LIU Xiang-dong,LIU Yu and LI Li.A New Kind of Generalized Preisach Hysteresis Model and Its Identification Based on Neural Network[J].Journal of Beijing Institute of Technology(Natural Science Edition),2007,27(2):135-138.
Authors:LIU Xiang-dong  LIU Yu and LI Li
Institution:Department of Automatic Control, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China
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 new kind of generalized Preisach model by introducing an average hysteresis function.Then the neural networks are used to identify the key parameters of the new model.The results of simulation showed that the generalized Preisach model seemed to be more accurate than the classical Preisach model.
Keywords:average hysteresis function  Preisach function  piezoceramic actuator  neural network
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