Title:
6-DOF Nonlinear Simulation of Vision-based Formation Flight
6-DOF Nonlinear Simulation of Vision-based Formation Flight
| dc.contributor.author | Sattigeri, Ramachandra J. | |
| dc.contributor.author | Calise, Anthony J. | |
| dc.contributor.author | Kim, Byoung Soo | |
| dc.contributor.author | Volyanskyy, Konstantin | |
| dc.contributor.author | Kim, Nakwan | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | |
| dc.contributor.corporatename | Gyeongsang National University. School of Mechanical and Aerospace Engineering | |
| dc.contributor.corporatename | Chungnam National University. School of Aerospace Engineering | |
| dc.date.accessioned | 2010-11-10T20:35:31Z | |
| dc.date.available | 2010-11-10T20:35:31Z | |
| dc.date.issued | 2005-08 | |
| dc.description | Presented at the AIAA Guidance, Navigation, and Control Conference and Exhibit 15 - 18 August 2005, San Francisco, California. | en_US |
| dc.description | Copyright © 2005 by Georgia Institute of Technology. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. | |
| dc.description.abstract | This paper presents an adaptive guidance and control law algorithm for implementation on a pair of Unmanned Aerial Vehicles (UAVs) in a 6 DOF leader-follower formation flight simulation. The objective of the simulation study is to prepare for a flight test involving a pair of UAVs in formation flight where the follower aircraft will be equipped with an onboard camera to estimate the relative distance and orientation to the leader aircraft. The follower guidance law is an adaptive acceleration based guidance law designed for the purpose of tracking a maneuvering leader aircraft. We also discuss the limitations of a preceding version of the guidance algorithm shown in a previous paper. Finally, we discuss the design of an adaptive controller (autopilot) to track the commands from the guidance algorithm. Simulation results for different leader maneuvers are presented and analyzed. | en_US |
| dc.identifier.citation | 6-DOF Nonlinear Simulation of Vision-based Formation Flight. Ramachandra J. Sattigeri, Anthony J. Calise, Byoung S. Kim, Konstantin Volyanskyy, Nakwan Kim. AIAA Guidance, Navigation and Control Conference and Exhibit, San Francisco, California, August, 2005. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/35900 | |
| 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 | Adaptive control | en_US |
| dc.subject | Formation flight | en_US |
| dc.subject | Guidance | en_US |
| dc.subject | Neural network | en_US |
| dc.title | 6-DOF Nonlinear Simulation of Vision-based Formation Flight | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.corporatename | Daniel Guggenheim School of Aerospace Engineering | |
| local.contributor.corporatename | Aerospace Design Group | |
| local.contributor.corporatename | College of Engineering | |
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