dc.creatorValmorbida G.
dc.creatorLu W.C.
dc.creatorMora-Camino F.
dc.date2005
dc.date2015-06-26T14:09:33Z
dc.date2015-11-26T14:09:29Z
dc.date2015-06-26T14:09:33Z
dc.date2015-11-26T14:09:29Z
dc.date.accessioned2018-03-28T21:10:01Z
dc.date.available2018-03-28T21:10:01Z
dc.identifier769523226
dc.identifierProceedings - Simulation Symposium. , v. , n. , p. 168 - 172, 2005.
dc.identifier1080241X
dc.identifier10.1109/ANSS.2005.8
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-27544449279&partnerID=40&md5=98af974717d4491128f2040b554c2a84
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93820
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93820
dc.identifier2-s2.0-27544449279
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241245
dc.descriptionFlight simulators have been part of aviation history since its beginning. With the development of modern aeronautics industry, flight simulators have gained an important place and the industry devoted to their manufacture has become significant. In the case of transportation aircraft, accurate mathematical models based on extensive experimental data have been developed by their manufacturers to optimise their aerodynamic and propulsive characteristics and to design efficient flight control systems. However, in the case of small general aviation aircraft this kind of knowledge is not commonly available and the design of accurate flight simulators can result in a tedious try and modify process until the simulator presents a qualitative behaviour close to the one of the real aircraft. This communication proposes through the use of neural networks a method to perform a direct estimation of the aerodynamic forces acting on aircraft. Artificial Neural networks appear to be an appropriate numerical technique to achieve the mapping of these continuous relationships and detailed aerodynamics and thrust models should become no more mandatory to produce accurate flight simulation software. © 2005 IEEE.
dc.description
dc.description
dc.description168
dc.description172
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dc.languageen
dc.publisher
dc.relationProceedings - Simulation Symposium
dc.rightsfechado
dc.sourceScopus
dc.titleA Neural Approach For Fast Simulation Of Flight Mechanics
dc.typeActas de congresos


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