Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.1/2209
Título: Identification of aircraft gas-turbine dynamics using B-splines neural networks
Autor: Lopes, J. C.
Ruano, A. E.
Fleming, P. J.
Palavras-chave: Gas Turbines
Systems Identification
Neural Networks
Data: 2000
Citação: Lopes, J. C.; Ruano, A. E.; Fleming, P. J. Identification of aircraft gas-turbine dynamics using B-splines neural networks, Trabalho apresentado em 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC' 00), In 6th IFAC Workshop on Algorithms and Architectures for Real-Time Control (AARTC' 00), Palma de Mallorca, 2000.
Resumo: This paper describes preliminary results regarding the development of a B-splines neural network model of the fuel feed to shaft-speed dynamics of a twin-shaft gas turbine engine. Data recorded from practical testing of the turbine to a multisine input were employed, and models were identified at different points along the turbine operating curve. B-splines neural networks have been found to be good models of the system, delivering good results especially for long-range predictions.
Peer review: yes
URI: http://hdl.handle.net/10400.1/2209
Aparece nas colecções:FCT2-Artigos (em revistas ou actas indexadas)

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