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Aerospace 2016, 3(1), 8; doi:10.3390/aerospace3010008

Guidance, Navigation and Control of Unmanned Airships under Time-Varying Wind for Extended Surveillance

Department of Mechanical and Aerospace Engineering, University of Texas at Arlington, 211 Woolf Hall, Box 19018, 500 W. First St., Arlington, TX 76010, USA
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Author to whom correspondence should be addressed.
Academic Editor: Javaan Chahl
Received: 21 December 2015 / Revised: 20 January 2016 / Accepted: 10 February 2016 / Published: 17 February 2016
(This article belongs to the Collection Unmanned Aerial Systems)

Abstract

This paper deals with the control of lighter-than-air vehicles, more specifically the design of an integrated guidance, navigation and control (GNC) scheme that is capable of navigating an airship through a series of constant-altitude, planar waypoints. Two guidance schemes are introduced, a track-specific guidance law and a proportional navigation guidance law, that provide the required signals to the corresponding controllers based on the airship position relative to a target waypoint. A novel implementation of the extended Kalman filter, namely the scheduled extended Kalman filter, estimates the required states and wind speed to enhance the performance of the track-specific guidance law in the presence of time-varying wind. The performance of the GNC system is tested using a high fidelity nonlinear dynamic simulation for a variety of flying conditions. Representative results illustrate the performance of the integrated system for chosen flight conditions. View Full-Text
Keywords: unmanned airship; waypoint navigation; proportional navigation guidance; wind estimation unmanned airship; waypoint navigation; proportional navigation guidance; wind estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Atmeh, G.; Subbarao, K. Guidance, Navigation and Control of Unmanned Airships under Time-Varying Wind for Extended Surveillance. Aerospace 2016, 3, 8.

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