Neural Network Based System Identification for Autonomous Flight of an Eagle Helicopter
نویسندگان
چکیده
Neural Network Identification (NNID) for modeling the dynamics of a miniature Eagle helicopter is presented in this paper. Off-line and on-line identification is carried out for both coupled and decoupled dynamics of the helicopter from the flight test data. For both the cases, identification results and the error statistics are provided. The off-line identification performs better due to sufficient training time and data. Results indicate neural network based black-box method is suitable for modeling the nonlinear dynamics of the helicopter. This can be further applied for the design of Automatic Flight Control System (AFCS).
منابع مشابه
Modelling and Identification of Flight Dynamics in Mini-Helicopters Using Neural Networks
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