Soft computing control system of an unmanned airship

Abstract EN

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.