• CN:11-2187/TH
  • ISSN:0577-6686

›› 2005, Vol. 41 ›› Issue (4): 7-12.

• 论文 • 上一篇    下一篇

在Preisach模型框架下的似对角动态神经网络压电陶瓷迟滞模型的研究

党选举;谭永红   

  1. 上海交通大学自动化系;桂林电子工业学院智能系统与工业控制研究室
  • 发布日期:2005-04-15

STUDY ON SIMILAR DIAGNAL DYNAMIC NEURAL NETWORK HYSTERESIS MODEL FOR PIEZOCERAMIC ACTUATOR BASED ON PREISACH MODEL

Dang Xuanju;Tan Yonghong   

  1. Institute of Automation, Shanghai Jiaotong University Laboratory of Intelligent System and Control Engineering, Guilin Institute of Electronic Technology
  • Published:2005-04-15

摘要: 在Preisach模型的结构下,用一阶微分方程代替relay迟滞元,借鉴对角动态神经网络模型,提出压电陶瓷迟滞特性的一种新的数学模型。该模型既有Preissach模型的结构思想,又能反映其动态特性。在输入信号是周期性衰减信号的激励下,由Preisach模型产生的数据和压电陶瓷产生的数据分别进行建模和预测仿真,结果表明该模型用于压电陶瓷迟滞特性建模是有效的,并具有较高的模型精度。

关键词: Preisach模型, 似对角动态神经网络模型, 压电陶瓷迟滞特性, 一阶微分方程

Abstract: The dynamic neural network hysteresis model of the piezoceramic actuator is presented by using the similar diagonal current neural network. This model is of structure of the Preisach model of which hysteresis cell is replaced by first-order differential equation. Simulation and experimental results performed on the two kinds of decayed rectangular input signals show that this new approach of identification and prediction for the piezoceramic actuator is effective and can achieve high accuracy.

Key words: First-order differential equation, Hysteresis behavior of the piezoceramic actuator, Preisach model, Similar diagonal recurrent neural network

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