Abstract:

A method is presented for unmanned helicopter flight dynamics model identification. In this method, subspace state space system identification method and prediction error method are combined to compensate the shortcomings of each single one. By simulation, the flight dynamics model of unmanned helicopter example is successfully identified. The results show that the method presented by this paper takes the advantage of two distinguished system identification methods and is always convergent and numerically stable.

Key words: flight , dynamics,  , system , identification,  , subspace , method,  , helicopter,  , prediction , error , method