DocumentCode
3441432
Title
Study on NN-Preisach hybrid model of piezoelectric actuator
Author
Huawei, Ji ; Yongqing, Wen
Author_Institution
Sch. of Mech. Eng., Hangzhou Dianzi Univ., Hangzhou, China
Volume
3
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
653
Lastpage
657
Abstract
Piezoelectric actuator is being widely used in vibration suppression and micro positioning applications for fast response, nanometer resolution, no backlash, no friction and bigger driving force. However, its inherent hysteresis characteristics between the input voltage and output displacement limit its control accuracy. An efficient way to eliminate this limitation is to model the nonlinearity. In order solve the problem, the characteristic of piezoelectric actuator was introduced, and its static hysteresis was studied by experiment. Artificial neural network was used to predict the output value that its input did not appear in the input numerical simulation form, and a NN-Preisach model was put forward to describing the hysteresis nonlinearity. Comparing previous models, the proposed model is more accurate to predict the output displacement, and overcomes some disadvantages of Preisach model.
Keywords
control nonlinearities; hysteresis; neural nets; piezoelectric actuators; NN-Preisach hybrid model; artificial neural network; micro positioning applications; nonlinear hysteresis; numerical simulation; piezoelectric actuator; static hysteresis; vibration suppression; Artificial neural networks; Predictive models; NN-Preisach hybrid model; hysteresis nonlinearity; neural network; piezoelectric actuator;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6582-8
Type
conf
DOI
10.1109/ICICISYS.2010.5658388
Filename
5658388
Link To Document