Soft computing control systems have been applied in various applications particularly in the fields of robotics controls. The advantage of having a soft computing control 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.
Soft computing control system of an unmanned airship
01.11.2010
764965 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
AIAA | 2009
|Simulation of Unmanned Airship Control
British Library Conference Proceedings | 2008
|Attitude Control System Research of Unmanned Airship
Springer Verlag | 2012
|