| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 714949 | IFAC Proceedings Volumes | 2013 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
