Name
Title | ||
|---|---|---|
Tracking Control Of Piezoelectric Actuators Using Feedforward/Feedback Learning-Based Controller |
Abstract | ||
|---|---|---|
Piezoelectric actuators are commonly used in Micro/nanopositioning due to their high stiffness, fast response and ultra-high precision. However, three main factors affect their position tracking performance, namely hysteresis, creep, and structural vibrations. To overcome these limitations, a feedforward/feedback learning-based controller is proposed in this paper. The proposed controller is a learning-based controller that is capable of smoothly tracking continuous sinusoid reference signals. Simulation and experimental results using a commercial amplified piezoelectric actuator attest to the good tracking performance the proposed controller. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CoDIT.2019.8820631 | 2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019) |
Keywords | Field | DocType |
Piezoelectric Actuators, feedforward/feedback controller, learning algorithm, position tracking control | Piezoelectric actuators,Control theory,Stiffness,Control theory,Computer science,Hysteresis,Amplified piezoelectric actuator,Creep,Vibration,Feed forward | Conference |
ISSN | Citations | PageRank |
2576-3555 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ashraf Saleem | 1 | 13 | 4.14 |
| Musabah Al Hattali | 2 | 0 | 0.34 |
| Mohammed Shafiq | 3 | 0 | 0.34 |
| Issam Bahadur | 4 | 0 | 0.34 |