摘要
A model of piezoelectric actuator with hysteresis has been built in this paper with Prandtle-Ishlinskii model. After that, a radial basis function (RBF) neural network based adaptive inverse control scheme for nonlinear systems with unknown hysteresis nonlinearity is developed. A nonlinear filter based on RBF neural networks is used in hysteresis inverse plant modeling. We use the inverse model as the controller to control the piezoelectric actuator model directly. The simulation results show that the method interposed in this paper can restrain the hysteresis effect to lower than 1.25%.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008 |
| 页 | 353-356 |
| 页数 | 4 |
| DOI | |
| 出版状态 | 已出版 - 2008 |
| 活动 | 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008 - Beijing, 中国 期限: 12 12月 2008 → 15 12月 2008 |
出版系列
| 姓名 | 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008 |
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会议
| 会议 | 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 12/12/08 → 15/12/08 |
指纹
探究 'Neural network based inverse control of systems with hysteresis' 的科研主题。它们共同构成独一无二的指纹。引用此
Ma, T., Chen, J., Chen, W., & Deng, F. (2008). Neural network based inverse control of systems with hysteresis. 在 2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008 (页码 353-356). 文章 4735686 (2008 IEEE/ASME International Conference on Mechatronics and Embedded Systems and Applications, MESA 2008). https://doi.org/10.1109/MESA.2008.4735686