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Nonlinear flight control system with neural networks
dc.creator | Esteban Roncero, Sergio | |
dc.creator | Balakrishnan, S.N. | |
dc.date.accessioned | 2015-09-03T11:26:33Z | |
dc.date.available | 2015-09-03T11:26:33Z | |
dc.date.issued | 2001-08-09 | |
dc.identifier.isbn | 978-156347945-8 | es |
dc.identifier.uri | http://hdl.handle.net/11441/28188 | |
dc.description.abstract | In this study an adaptive critic based neural network controller is developed to obtain near optimal control laws for a nonlinear automatic flight control system. The adaptive critic approach consists of two neural networks. The first network, called the critic, captures the mapping between the states of a dynamical system and the co-states that arise in an optimal control problem. The second network, called the action network, maps the states of a system to the control. This study uses nonlinear aircraft models in the stall regions from a paper (Garrad and Jordan2 to develop optimal neural controllers for an aircraft; we then compare the results with singular perturbation based nonlinear controllers developed in the literature. The results show that with the neural controllers the aircraft can operate in a broader region of angles of attack beyond stall as compared to other linear and nonlinear controllers. | es |
dc.description.sponsorship | University of Missouri-Rolla | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | American Institute of Aeronautics and Astronautics | es |
dc.relation.ispartof | AIAA Atmospheric Flight Mechanics Conference and Exhibit Proceedings (1-9) Montreal: American Institute of Aeronautics and Astronautics | es |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Adaptive critic neural networks | es |
dc.subject | Nonlinear control | en |
dc.subject | High angle of attack | en |
dc.title | Nonlinear flight control system with neural networks | es |
dc.type | info:eu-repo/semantics/conferenceObject | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos | es |
dc.relation.publisherversion | http://arc.aiaa.org/doi/abs/10.2514/6.2001-4257 | es |
dc.identifier.idus | https://idus.us.es/xmlui/handle/11441/28188 | |
dc.contributor.funder | University of Missouri-Rolla |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Nonlinear_ACNN_AIAA.pdf | 1.566Mb | [PDF] | Ver/ | Artículo principal |