DocumentCode
442234
Title
Neural modeling for hysteresis in piezoelectrical actuator
Author
Zhao, Xinglong ; Tan, Yonghong
Author_Institution
Dept. of Autom., Shanghai Jiaotong Univ., China
Volume
1
fYear
2005
fDate
26-29 June 2005
Firstpage
137
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Automation, 2005. ICCA '05. International Conference on
Print_ISBN
0-7803-9137-3
Type
conf
DOI
10.1109/ICCA.2005.1528105
Filename
1528105
Link To Document