Neural network based identification of Preisach-type hysteresis in piezoelectric actuator using hysteretic operator

A neural network based approach of identification for Preisach-type hysteresis 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 applied to the approximation of the behavior of hysteresis. The proposed model has a simple architecture that simplifies identification procedure and is available to different operating conditions. Finally, an example of simulation and the result of modeling the hysteresis existing in a piezoelectric actuator based on the proposed method are presented.