Genetic algorithm based identification of a nonlinear 2dof helicopter model (CROSBI ID 652552)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Osmic, Nedim ; Velagic, Jasmin ; Konjicija, Samim ; Galijasevic, Amar
engleski
Genetic algorithm based identification of a nonlinear 2dof helicopter model
This paper demonstrates the effectiveness of a genetic algorithm in identification of the unknown parameters of a nonlinear 2DOF laboratory helicopter model. The mathematical model of physical structure of the helicopter has fourteen unknown parameters which are necessary to be identified. For identification of this model a genetic algorithm is chosen because it enables finding referent results using less number of the experiments in comparison with other identification techniques. After the identification process has been carried out, the unknown parameters are determined and validated through comparisons of the simulation model response and response of the real helicopter system.
Helicopters, Mathematical model, Azimuth, Torque, Friction, Propellers, Rotors
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Podaci o prilogu
333-338.
2010.
objavljeno
Podaci o matičnoj publikaciji
978-1-4244-8092-0
Podaci o skupu
Control & Automation (MED), 2010 18th Mediterranean Conference on
predavanje
23.06.2010-25.06.2010
Marakeš, Maroko