一种新广义Preisach迟滞模型及其神经网络辨识

A New Kind of Generalized Preisach Hysteresis Model and Its Identification Based on Neural Network

  • 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.

     

    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.

     

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