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 :
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