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�������պ����ѧѧ�� 2008, Vol. 34 Issue (06) :677-680    DOI:
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1. �������պ����ѧ ���տ�ѧ�빤��ѧԺ, ���� 100191;
2. �й����������о��뷢չ����, ���� 621000
Neural network control in active vortex control based on low aspect ratio flying wing
Kong Yinan1, Wang lixin1, Qian Weiqi2, Wang Qing2*
1. School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China;
2. China Aerodynamics Research & Development Center, Mianyang 621000, China

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Abstract�� A low aspect ration flying wing aircraft was researched. Full state feedback controller was used for the continuous control effectors to improve the stability of aircraft. To improve the control ability, a vortex flow controller(bang-bang controller) based on three layers BP neural network was used. Through adjust weights for states and the number of hidden layers, the designer could optimize the network. The convergence speed and precision of the network were improved by using variety step network. The evaluation criteria consist of closed-loop system performance and activity level of the vortex flow controller nozzles were given. The results show that application of a neural network controller improves general performance of regular design and makes controlling of the vortex flow controller activity more practical comparing to conventional controller.
Keywords�� vortex flow controller   neural network   low aspect ratio flying wing   cost function     
Received 2007-05-25;
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About author: ������(1979-),ɽ���Ͳ���,��ʿ��,kyn2002@sina.com.
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������, ������, Ǯ���, ����.�������ڷ����ַɻ��������������е�Ӧ��[J]  �������պ����ѧѧ��, 2008,V34(06): 677-680
Kong Yinan, Wang lixin, Qian Weiqi, Wang Qing.Neural network control in active vortex control based on low aspect ratio flying wing[J]  JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(06): 677-680
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