To identify the micro helicopter’s yaw dynamics, the system identification method is used and is proved to be suitable according to the validation results. In order to strengthen the information of the dynamics and reduce the effect of the noise when processing the experiment data, the conventional system identification method is modified and a weighted criterion is investigated to estimate the model parameters. In calculating the factors of the weighted criterion, a perceptron is trained to allocate the factors automatically. The model validation result shows that the model derived by this kind of method can fit the measured outputs well. The modified system identification method would be useful in identifying dynamic systems which use the multiexperiment data.

Issue Section:
Technical Papers
Keywords:
Helicopter Dynamics, System Identification, Data Processing, Perceptron, helicopters, vehicle dynamics, parameter estimation, perceptrons, aircraft control, aerodynamics, motion control, control systems, micromechanical devices, noise
Topics:
Dynamics (Mechanics), Yaw, Noise (Sound)
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