Hysteresis compensation for piezoelectric tube scanner in atomic force microscopy
In this paper, a radial basis function neural network (RBFNN) is designed and used for such purpose. The network is used in conjunction with a self-tuning PID controller. The differential equation of Jenkine element is adopted for hysteresis modeling. The simulation results show that the proposed co...
Saved in:
| Main Authors: | , , |
|---|---|
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2012
|
| 主題: | |
| 在線閱讀: | http://irep.iium.edu.my/25831/1/Hysteresis_Compensation_for_Piezoelectric_Tube_Scanner_in_Atomic_Force.pdf http://irep.iium.edu.my/25831/ http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6149633&tag=1 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Universiti Islam Antarabangsa Malaysia |
| 語言: | English |
| 總結: | In this paper, a radial basis function neural network (RBFNN) is designed and used for such purpose. The network is used in conjunction with a self-tuning PID controller. The differential equation of Jenkine element is adopted for hysteresis modeling. The simulation results show that the proposed controller improves the system performance better than open loop system and direct closed loop system by minimizing the effect of hysteresis. |
|---|