Title:
A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles

dc.contributor.author Christophersen, Henrik B.
dc.contributor.author Pickell, R. Wayne
dc.contributor.author Neidhoefer, James C.
dc.contributor.author Koller, Adrian A.
dc.contributor.author Kannan, Suresh K.
dc.contributor.author Johnson, Eric N.
dc.contributor.corporatename Georgia Institute of Technology. School of Aerospace Engineering
dc.date.accessioned 2010-11-10T16:30:55Z
dc.date.available 2010-11-10T16:30:55Z
dc.date.issued 2006-05
dc.description Published in Journal of Aerospace Computing, Information, and Communication, 3(5):187-213, May, 2006. en_US
dc.description Received 27 July 2005; revision received and accepted for publication 17 November 2005. Copyright 2005 by Henrik B. Christophersen, R. Wayne. Pickell, James C. Neidhoefer, Adrian A. Koller, Suresh, K. Kannan and Eric N. Johnson. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission.
dc.description.abstract The Flight Control System 20 (FCS20) is a compact, self-contained Guidance, Navigation, and Control system that has recently been developed to enable advanced autonomous behavior in a wide range of Unmanned Aerial Vehicles (UAVs). The FCS20 uses a floating point Digital Signal Processor (DSP) for high level serial processing, a Field Programmable Gate Array (FPGA) for low level parallel processing, and GPS and Micro Electro Mechanical Systems (MEMS) sensors. In addition to guidance, navigation, and control functions, the FCS20 is capable of supporting advanced algorithms such as automated reasoning, artificial vision, and multi-vehicle interaction. The unique contribution of this paper is that it gives a complete overview of the FCS20 GN&C system, including computing, communications, and information aspects. Computing aspects of the FCS20 include details about the design process, hardware components, and board configurations, and specifications. Communications aspects of the FCS20 include descriptions of internal and external data flow. The information section describes the FCS20 Operating System (OS), the Support Vehicle Interface Library (SVIL) software, the navigation Extended Kalman Filter, and the neural network based adaptive controller. Finally, simulation-based results as well as actual flight test results that demonstrate the operation of the guidance, navigation, and control algorithms on a real Unmanned Aerial Vehicle (UAV) are presented. en_US
dc.identifier.citation A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles. Henrik Christophersen, Robert W. Pickell, James C. Neidhoefer, Adrian A. Koller, Suresh K. Kannan, Eric N. Johnson. Journal of Aerospace Computing, Information, and Communication, 3(5):187-213, May, 2006. en_US
dc.identifier.issn 1542-9423
dc.identifier.uri http://hdl.handle.net/1853/35887
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 Unmanned aerial vehicles en_US
dc.subject Autonomous behavior en_US
dc.subject Navigation systems en_US
dc.title A Compact Guidance, Navigation, and Control System for Unmanned Aerial Vehicles 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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