Title:
Real-Time System Identification of a Small Multi-Engine Aircraft
Real-Time System Identification of a Small Multi-Engine Aircraft
| dc.contributor.author | DeBusk, Wesley M. | |
| dc.contributor.author | Chowdhary, Girish | |
| dc.contributor.author | Johnson, Eric N. | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | |
| dc.date.accessioned | 2010-11-09T19:38:57Z | |
| dc.date.available | 2010-11-09T19:38:57Z | |
| dc.date.issued | 2009-08 | |
| dc.description | Presented at the AIAA Atmospheric Flight Mechanics, Chicago, IL, August, 2009. | en_US |
| dc.description.abstract | In-flight identification of an aircraft's dynamic model can benefit adaptive control schemes by providing estimates of aerodynamic stability derivatives in real time. This information is useful when the dynamic model changes severely in flight such as when faults and failures occur. Moreover a continuously updating model of the aircraft dynamics can be used to monitor the performance of onboard controllers. Flight test data was collected using a sum of sines input implemented in closed loop on a twin engine, fixed wing, Unmanned Aerial Vehicle. This data has been used to estimate a complete six degree of freedom aircraft linear model using the recursive Fourier Transform Regression method in frequency domain. The methods presented in this paper have been successfully validated using computer simulation and real flight data. This paper shows the feasibility of using the frequency domain Fourier Transform Regression method for real time parameter identification. | en_US |
| dc.identifier.citation | Real-Time System Identification of a Small Multi-Engine Aircraft. Wesley Debusk, Girish Chowdhary, Eric N. Johnson. AIAA Atmospheric Flight Mechanics, Chicago, IL, August, 2009. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/35872 | |
| 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 | Aerodynamic model identification | en_US |
| dc.subject | Fixed wing | en_US |
| dc.subject | Autonomous | en_US |
| dc.subject | Unmanned aerial vehicles | en_US |
| dc.title | Real-Time System Identification of a Small Multi-Engine Aircraft | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| 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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