Title :
A new type of neural network preisach model for hysteresis in piezoelectric actuator
Author :
Liu, Diantong ; Wang, Wei
Author_Institution :
Inst. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
Abstract :
A new neural network model to predict hysteresis output in piezoelectric actuator is presented. An improved Preisach operator description is given and analyzed in detail. The hysteresis model is implemented with a Neural Network Model to construct a classical Preisach model. The experiment results show the validity for predicting the output of hysteresis in the piezoelectric actuators.
Keywords :
ferromagnetic materials; neural nets; nonlinear control systems; piezoelectric actuators; Preisach operator description; hysteresis actuator; hysteresis prediction; neural network preisach model; piezoelectric actuator; Asia; Electronic mail; Hysteresis; Informatics; Neural networks; Piezoelectric actuators; Predictive models; Robotics and automation; Solid modeling; Voltage; Preisach model; hysteresis; neural network; piezoelectric actuator;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456521
