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�������պ����ѧѧ�� 2008, Vol. 34 Issue (7) :861-864    DOI:
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Identification of coaxial helicopter dynamic system with elman neural networks
Xi Haijiao, Zhang Xiaolin*
School of Electronics and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

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Abstract�� A modified elman neural network according to the dynamic & kinematic equations of helicopters was established, the training algorithms for the neural networks(NN) was derived, and the training steps and their realizations were provided. From the telemetry data collection of real trial flights of a type of helicopter, the data of typical flying attitudes were exploited to train the NN and calculate the elements of associated weighted matrix, thus the NN for dynamic analysis against the helicopter was obtained. To illustrate the NN effeteness, the vertical operation response in the constant velocity forward flying attitude was simulated, comparing simulation results with real trial flight data shows that the NN basically reflects the real dynamic behavior of the helicopter.
Keywords�� coaxial helicopter   dynamic model   neural networks   system identification     
Received 2007-09-13;
About author: �ɺ���(1973-),��,������������,��ʿ��,xhj1021@126.com.
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�ɺ���, ������.����Elman����Ĺ���ʽֱ��������ѧϵͳ��ʶ[J]  �������պ����ѧѧ��, 2008,V34(7): 861-864
Xi Haijiao, Zhang Xiaolin.Identification of coaxial helicopter dynamic system with elman neural networks[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(7): 861-864
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