Title:
Adaptive Control of Evolving Gossamer Structures
Adaptive Control of Evolving Gossamer Structures
| dc.contributor.author | Yang, Bong-Jun | |
| dc.contributor.author | Calise, Anthony J. | |
| dc.contributor.author | Craig, James I. | |
| dc.contributor.author | Whorton, Mark S. | |
| dc.contributor.corporatename | Georgia Institute of Technology. School of Aerospace Engineering | |
| dc.contributor.corporatename | United States. National Aeronautics and Space Administration | |
| dc.contributor.corporatename | George C. Marshall Space Flight Center | |
| dc.date.accessioned | 2010-11-11T20:57:04Z | |
| dc.date.available | 2010-11-11T20:57:04Z | |
| dc.date.issued | 2006-08 | |
| dc.description | Presented at the AIAA Guidance, Navigation, and Control Conference and Exhibit, 21 - 24 August 2006, Keystone, Colorado. | en_US |
| dc.description | Copyright © 2006 by Bong-Jun Yang, Anthony J. Calise, James I. Craig, and Mark S. Whorton. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. | |
| dc.description.abstract | A solar sail is an example of a gossamer structure that is proposed as an propulsion system for future space missions. Since it is a large scale flexible structure that requires a long time for its deployment, active control may be required to prevent it from deviating into a non-recoverable state. In this paper, we conceptually address control of an evolving flexible structure using a growing double pendulum model. Controlling an evolving system poses a major challenge to control design because it involves time-varying parameters, such as inertia and stiffness. By employing a neural network based adaptive control, we illustrate that the evolving double pendulum can be effectively regulated when fixed-gain controllers are deficient due to presence of time-varying parameters. | en_US |
| dc.identifier.citation | Adaptive Control of Evolving Gossamer Structures. Bong-Jun Yang, Anthony J. Calise, James I. Craig, Mark S. Whorton. AIAA Guidance, Navigation, and Control Conference and Exhibit, Keystone, Colorado, August, 2006. | en_US |
| dc.identifier.uri | http://hdl.handle.net/1853/35920 | |
| 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 | Gossamer structures | en_US |
| dc.subject | Adaptive control | en_US |
| dc.subject | Neural network | en_US |
| dc.title | Adaptive Control of Evolving Gossamer Structures | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Craig, James I. | |
| local.contributor.corporatename | Daniel Guggenheim School of Aerospace Engineering | |
| local.contributor.corporatename | Aerospace Design Group | |
| local.contributor.corporatename | College of Engineering | |
| relation.isAuthorOfPublication | 721d215d-4d37-4f95-ae9d-149253045b28 | |
| relation.isOrgUnitOfPublication | a348b767-ea7e-4789-af1f-1f1d5925fb65 | |
| relation.isOrgUnitOfPublication | a3341b9f-ecbe-4107-8198-7cfe1d286a80 | |
| relation.isOrgUnitOfPublication | 7c022d60-21d5-497c-b552-95e489a06569 |