Title :
Neural modeling for hysteresis in piezoelectrical actuator
Author :
Zhao, Xinglong ; Tan, Yonghong
Author_Institution :
Dept. of Autom., Shanghai Jiaotong Univ., China
Abstract :
A neural network based method of modeling hysteresis in piezo-electrical actuator is proposed. In this method, a hysteretic operator is introduced to transform the multi-valued mapping of hysteresis into a one-to-one mapping so that neural networks can be utilized to approximate the characteristic of hysteresis. The result of modeling the hysteresis exists in a piezo-electrical actuator using the proposed method is finally presented.
Keywords :
control nonlinearities; hysteresis; neural nets; piezoelectric actuators; hysteresis; hysteretic operator; multivalued mapping; neural modeling; neural network; one-to-one mapping; piezoelectrical actuator; Automation; Degradation; Distribution functions; Hysteresis; Intelligent networks; Intelligent systems; Laboratories; Neural networks; Piezoelectric actuators; System performance;
Conference_Titel :
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN :
0-7803-9137-3
DOI :
10.1109/ICCA.2005.1528105
