节点文献
基于灰色理论的压电陶瓷迟滞特性的神经网络建模研究
Study on Neural Network Modeling for Hysteresis Behavior of Piezoceramic Actuator Based on Gray Theory
【摘要】 针对不光滑非单值对应的非线性压电陶瓷的迟滞特性,提出了采用灰色理论中的累加生成(AGO)方法,将压电陶瓷的非负多值对应的输入与输出特性的数据转换为单值对应的新数据,再通过神经网络建立压电陶瓷的迟滞特性模型。仿真实验结果表明,用该方法建立迟滞特性对象的模型是有效的。
【Abstract】 The neural network hysteresis model of piezoceramic actuator is presented by using accumulated generating operation(AGO)of gray theory in which AGO transforms the multi-valued function of hysteresis into the single-valued function. Simulation and experimental results show that this new approach for identification of the nonlinear piezoceramic actuator is effective and of high precision.
【关键词】 灰色理论;
累加生成;
压电陶瓷;
迟滞特性;
神经网络;
【Key words】 Gray theory Accumulated generating operation(AGO) Piezoceramic actuator Hysteresis behavior Neural network;
【Key words】 Gray theory Accumulated generating operation(AGO) Piezoceramic actuator Hysteresis behavior Neural network;
【基金】 国家自然科学基金(50265001);广西区教委科研(桂教科研[2003]22号)资助项目。
- 【文献出处】 仪器仪表学报 ,Chinese Journal of Scientific Instrument , 编辑部邮箱 ,2005年09期
- 【分类号】TB39
- 【被引频次】16
- 【下载频次】298