MPCA for flight dynamics parameters determination

• Autorzy: Sumida I.Y. , de Campos Velho H.F. , Luz E.F.P. , Cruz R.V. , Góes L. C. S.
• Języki publikacji: EN

Abstrakty

EN

Aircraft have become increasingly costly and complex. Military and civil pilots and engineers have used flight simulators in order to increase safety of flight through the training of crew. It is necessary to calibrate the simulation for simulators to have good adherence to reality, that is, to identify the parameters that make the simulation as close as possible to the actual dynamics. After determining these parameters, the simulator will be ready to be used in human resources training or assessing the aircraft. Parameter identification characterizes the aerodynamic performance of the aircraft and can be formulated as a problem optimization. The calibration of a dynamic flight simulator is achieved by a new meta-heuristic called multiple particle collision algorithm (MPCA). Preliminary results show a good performance of the employed approach.

Słowa kluczowe

EN

flight dynamic; parameter identification; multiple particle collision algorithm

PL

dynamika lotu; identyfikacja parametrów; algorytm kolizji cząstek

• Wydawca: Instytut Podstawowych Problemów Techniki PAN
• Czasopismo: Computer Assisted Methods in Engineering and Science
• Rocznik: 2014
• Tom: Vol. 21, no. 3-4
• Strony: 257--265
• Opis fizyczny: Bibliogr. 23 poz., rys., tab., wykr.

Twórcy

autor

Sumida I.Y.

• National Institute of Space Research São José dos Campos, Brazil
• Flight Test Research Institute São José dos Campos, Brazil

autor

de Campos Velho H.F.

• National Institute of Space Research São José dos Campos, Brazil

autor

Luz E.F.P.

• National Institute of Space Research São José dos Campos, Brazil

autor

Cruz R.V.

• Technological Institute of Aeronautics São José dos Campos, Brazil

autor

Góes L. C. S.

• Technological Institute of Aeronautics São José dos Campos, Brazil

Bibliografia

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