Title :
Identification for Piezoelectric Smart Materials based on Neural Networks method
Author :
Yanmei, Liu ; Zhen, Chen ; Dingyu, Xue
Author_Institution :
Dept. of Autom., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Abstract :
Based on the static Preisach hysteresis model of Piezoelectric Smart Materials, the technology of Artificial Neural Networks is applied for the hysteresis modeling of Piezoelectric Smart Materials. The BP network is chosen as the method of identifying the non-linear hysteresis sysytem. Adopting this method one sample´s hysteresis model is built. The results have shown that this method is correct and effective.
Keywords :
backpropagation; composite materials; intelligent actuators; intelligent materials; magnetic hysteresis; neurocontrollers; nonlinear control systems; piezoelectric actuators; piezoelectric materials; polymers; BP network; IPMC actuator; artificial neural network; hysteresis modeling; ionic polymer-metal composite; nonlinear hysteresis sysytem; piezoelectric smart material; static Preisach hysteresis model; Artificial neural networks; Biomembranes; Electric potential; Magnetic hysteresis; Magnetic materials; Neural networks; Piezoelectric actuators; Piezoelectric materials; Polymers; Space technology; Artificial Neural Networks; Preisach hysteresis model; identifying; non-linear;
Conference_Titel :
Advanced Computer Control (ICACC), 2010 2nd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-5845-5
DOI :
10.1109/ICACC.2010.5486712
