Name
Abstract | ||
|---|---|---|
The paper presents results of implementing and testing a fuzzy adaptive force controller on the state-of-the-art Cartesian robot Schneider Electric MAX R3. By using a second-order reference model, proportional force feedback controller, and a fuzzy adaptation mechanism using a model tracking error, the fuzzy adaptive force control system improves dynamic characteristics and keeps the model tracking error within desired limits for a range of moderate environment stiffness variations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MED.2017.7984143 | 2017 25th Mediterranean Conference on Control and Automation (MED) |
Keywords | Field | DocType |
Robot,contact force,adaptive fuzzy control | Control theory,Reference model,Control theory,Computer science,Fuzzy logic,Control engineering,Automation,Control system,Cartesian coordinate robot,Haptic technology,Tracking error | Conference |
ISSN | ISBN | Citations |
2325-369X | 978-1-5090-4534-1 | 1 |
PageRank | References | Authors |
0.35 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vedran Brkic | 1 | 1 | 0.35 |
| Zdenko Kovacic | 2 | 59 | 15.27 |