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Soft Computing Control System of an Unmanned Airship | ||
| Iraqi Journal for Electrical And Electronic Engineering | ||
| Article 1, Volume 6, Issue 1, 2010, Pages 22-27 PDF (0 K) | ||
| DOI: 10.33762/eeej.2010.54338 | ||
| Authors | ||
| Wong Wei Kitt; Ali Chekima; jamal A. Dhargam; Farrah wong; Tamer A. Tabet | ||
| Abstract | ||
| Soft computing control system have been applied in various applications particularly in the fields of robotics controls. The advantage of having a soft computing controls methods is that it enable more flexibility to the control system compared with conventional model based controls system. Firstly, soft computing methods enable a transfer of human controls and thinking into the machine via training. Secondly it is more robust to error compared to conventional model based system. In this paper, a UAV airship is controlled using fuzzy logic for its propulsion and steering system. The airship is tested on a simulation level before test flight. The prototype airship has on board GPS and compass for telemetry and transmitted to the ground control system via a wireless link | ||
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