Identification of an Unmanned helicopter Using Neural Network

M.K. Samal, S. Anavatti, and M. Garratt (Australia)


System Identification, Neural Network, modeling, Un manned Helicopter, Black-Box method.


Black-box identification using neural network applied for modeling the dynamics of the R-Max helicopter is dis cussed in this paper. The identification is carried out both for coupled six-degree-of-freedom system as well as de coupled longitudinal and lateral dynamics using the test flight data. The simulation results and the statistical error analysis is provided for both the cases. The results indicate the suitability of the black-box method for identification of the nonlinear coupled dynamics for the helicopter. The identified unmanned helicopter model can further be used for design of Automatic Flight Control Systems (AFCS).

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