Soft computing control system of an unmanned airship

Kitt, Wong Wei and Ali Chekima, and Jamal Ahmad Dargham, and Wong , Hock Tze @ Farrah Wong Tze @ Farrah Wong and Tabet, Tamer A. (2010) Soft computing control system of an unmanned airship. In: 2010 1st International Conference on Energy, Power and Control, EPC-IQ01 2010, 30 November - 2 December 2010, Basrah, Iraq.

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...

Abstract

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.

Item Type:Conference Paper (UNSPECIFIED)
Uncontrolled Keywords:Computing control, Conventional models, Ground control system, Human control, Robotics control, Soft computing methods, Steering systems, Test flights, Unmanned airships, Wireless link
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:SCHOOL > School of Engineering and Information Technology
ID Code:3930
Deposited By:IR Admin
Deposited On:09 Apr 2012 16:35
Last Modified:29 Dec 2014 16:11

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