| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 7136841 | Sensors and Actuators A: Physical | 2014 | 7 Pages |
Abstract
In this paper, a new hysteretic operator (HO) for hysteresis in piezoelectric actuators is proposed. Based on the constructed HO, the input space of neural networks is expanded from 1-dimension to 2-dimension using the expanded space method so that the multi-value mapping of hysteresis is transformed into a continuous mapping comprised of one-to-one mapping and multiple-to-one mapping. Based on the expanded input space, a neural network is used to identify hysteresis nonlinearity. The approximation performance of an experimental example suggests the proposed approach is effective.
Keywords
Related Topics
Physical Sciences and Engineering
Chemistry
Electrochemistry
Authors
Lianwei Ma, Yu Shen, Jinrong Li, Xinlong Zhao,