Title :
Modeling Hysteresis Inverse in Piezoelectric Actuators Based on Inverse Hysteretic Operator
Author_Institution :
Guilin Univ. of Electron. Technol., Guilin
Abstract :
In order to improve the performance of the system with piezoelectric actuators, one of the approaches is to construct an inverse model of the hysteresis to cascade with the actuator so as to compensate for the effect of hysteresis involved in the piezoelectric actuators. In this paper, a neural networks based inverse model for the hysteresis is proposed. In this scheme, an inverse hysteretic operator is proposed to transform the multi-valued mapping of the inverse hysteresis into a kind of one-to-one mapping so that the neural networks are capable of implementing identification for the hysteresis inverse.
Keywords :
hysteresis; neural nets; piezoelectric actuators; inverse hysteretic operator; multivalued mapping; neural networks; piezoelectric actuator; Continuous time systems; Data mining; Feature extraction; Hysteresis; Inverse problems; Neural networks; Piezoelectric actuators;
Conference_Titel :
Networking, Sensing and Control, 2007 IEEE International Conference on
Conference_Location :
London
Print_ISBN :
1-4244-1076-2
Electronic_ISBN :
1-4244-1076-2
DOI :
10.1109/ICNSC.2007.372764