Name
Abstract | ||
|---|---|---|
Cranes are used to move heavy cargo. While they are in general controlled by a human operator, automated systems are able to obtain more precise control. In this paper, we design a Takagi-Sugeno (TS) fuzzy controller for the crane. For this, first a TS fuzzy model of the crane is developed, and a TS observer is used to estimate the unmeasurable states. The observer is tested in simulation and on a laboratory-scale 3D crane, while the controller is tested in simulation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.3182/20130902-3-CN-3020.00058 | IFAC Proceedings Volumes |
Keywords | Field | DocType |
3D Crane,discretization,fuzzy modelling,observer,controller | Fuzzy model,Control theory,Human operator,Control theory,Computer science,Fuzzy logic,Control engineering,Observer (quantum physics) | Conference |
Volume | Issue | ISSN |
46 | 20 | 1474-6670 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paul Petrehus | 1 | 0 | 0.34 |
| Zsófia Lendek | 2 | 78 | 8.23 |
| Paula Raica | 3 | 1 | 1.72 |