Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
749823 | Sensors and Actuators A: Physical | 2008 | 7 Pages |
Abstract
An improved EHM-based hysteresis model is proposed in this paper. In this scheme, neural networks are employed to implement the mapping between the input and output of hysteresis. The so-called elementary hysteresis model (EHM) is introduced to construct the transformation to transform the multi-valued mapping of hysteresis into a one-to-one mapping. In order to construct the EHM, parabolas are chosen as monotone curves in the EHM-based NN model. In this paper, a new method for determining the coefficients of the parabolas is proposed. The coefficients of the parabolas are different from each other in the improved EHM-based NN model. Finally, both the numerical and experimental examples of using the proposed modeling scheme are presented.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Lianwei Ma, Yonghong Tan, Ya Chu,