Title:
Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft

dc.contributor.author Johnson, Eric N.
dc.contributor.author Turbe, Michael A.
dc.contributor.corporatename Georgia Institute of Technology. School of Aerospace Engineering
dc.date.accessioned 2010-11-10T15:41:24Z
dc.date.available 2010-11-10T15:41:24Z
dc.date.issued 2006-07
dc.description Published in Journal of Guidance Control and Dynamics, 29(4):769-779, July, 2006. en_US
dc.description.abstract Small ducted fan autonomous vehicles have potential for several applications, especially for missions in urban environments. This paper discusses the use of dynamic inversion with neural network adaptation to provide an adaptive controller for the GTSpy, a small ducted fan autonomous vehicle based on the Micro Autonomous Systems' Helispy. This approach allows utilization of the entire low speed flight envelope with a relatively poorly understood vehicle. A simulator model is constructed from a force and moment analysis of the vehicle, allowing for a validation of the controller in preparation for flight testing. Data from flight testing of the system is provided. en_US
dc.identifier.citation Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft. Eric N. Johnson, Michael Turbe. Journal of Guidance Control and Dynamics, 29(4):769-779, July, 2006. en_US
dc.identifier.issn 0731-5090
dc.identifier.uri http://hdl.handle.net/1853/35883
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original American Institute of Aeronautics and Astronautics, Inc.
dc.subject Adaptive control en_US
dc.subject Flight test results en_US
dc.subject Autonomous vehicles en_US
dc.title Modeling, Control, and Flight Testing of a Small Ducted Fan Aircraft en_US
dc.type Text
dc.type.genre Article
dspace.entity.type Publication
local.contributor.author Johnson, Eric N.
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename Aerospace Design Group
local.contributor.corporatename College of Engineering
local.contributor.corporatename Unmanned Aerial Vehicle Research Facility
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