Organizational Unit:
Aerospace Design Group

Permanent Link
https://hdl.handle.net/1853/70743
Research Organization Registry ID
Description
Previous Names
Parent Organization
Parent Organization
Includes Organization(s)
ArchiveSpace Name Record
https://finding-aids.library.gatech.edu/agents/corporate_entities/1134

Filters

2003 - 2006 3
3
3
3
Reset filters

Settings
Author: Kannan, Suresh K. × End date: 2006 × Start date: 2003 × search.filters.applied.f.isOrgUnitOfPublicationTitle: Aerospace Design Group × search.filters.applied.f.isOrgUnitOfPublicationTitle: Unmanned Aerial Vehicle Research Facility × search.filters.applied.f.resourcesubtype: Proceedings ×

Publication Search Results

Now showing 1 - 3 of 3
Thumbnail Image
Item

Flight Results of Autonomous Fixed-Wing UAV Transitions to and from Stationary Hover

2006-08 , Johnson, Eric N. , Turbe, Michael A. , Wu, Allen D. , Kannan, Suresh K. , Neidhoefer, James C.

Fixed-wing unmanned aerial vehicles (UAVs) with the ability to hover have significant potential for applications in urban or other constrained environments where the combination of fast speed, endurance, and stable hovering flight can provide strategic advantages. This paper discusses the use of dynamic inversion with neural network adaptation to provide an adaptive controller capable of transitioning a fixed-wing UAV to and from hovering flight in a nearly stationary position. This approach allows utilization of the entire low speed flight envelope even beyond stall conditions. The method is applied to the GTEdge, an 8.75 foot wing span fixed-wing aerobatic UAV which has been fully instrumented for autonomous flight. Results from actual flight test experiments of the system where the airplane transitions from high speed steady flight into a stationary hover and then back are presented.

View
Thumbnail Image
Item

Small Adaptive Flight Control Systems for UAVs Using FPGA/DSP Technology

2004-09 , Christophersen, Henrik B. , Pickell, Wayne J. , Koller, Adrian A. , Kannan, Suresh K. , Johnson, Eric N.

Future small UAVs will require enhanced capabilities like seeing and avoiding obstacles, tolerating unpredicted flight conditions, interfacing with payload sensors, tracking moving targets, and cooperating with other manned and unmanned systems. Cross-platform commonality to simplify system integration and training of personnel is also desired. A small guidance, navigation, and control system has been developed and tested. It employs Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) technology to satisfy the requirements for more advanced vehicle behavior in a small package. Having these two processors in the system enables custom vehicle interfacing and fast sequential processing of high-level control algorithms. This paper focuses first on the design aspects of the hardware and the low-level software. Discussion of flight test experience with the system controlling both an unmanned helicopter and an 11-inch ducted fan follow.

View
Thumbnail Image
Item

Development of an Autonomous Aerial Reconnaissance System at Georgia Tech

2003-07 , Proctor, Alison A. , Kannan, Suresh K. , Raabe, Chris , Christophersen, Henrik B. , Johnson, Eric N.

The Georgia Tech aerial robotics team has developed a system to compete in the International Aerial Robotics Competition, organized by the Association for Unmanned Vehicle Systems, International. The team is a multi-disciplinary group of students who have developed a multi-year strategy to complete all levels and the overall mission. The approach taken to achieve the objectives of the required missions has evolved to incorporate new ideas and lessons learned. This document summarizes the approach taken, the current status of the project, and the design of the components and subsystems.

View