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ժҪ ��Է��ģ��˸�ϵͳ�ĸ߶ȷ��Ժ��ܸ��,��һ�ֻ��PIDNN(Proportional Integral Differential Neural Network)�Ŀ��Ʒ��.��ȶԷ��ģ��˸�ϵͳ��ģ�ͽ��з��о�,��ܵ��۷��,��ϵͳ��ѧģ��,��PIDNN��ѵ��ѧϰ�͵��ܶԸ�ģ�ͽ��з��.�봫ͳPID(Proportional Integral Differential)��,PIDNN�ṹ�򵥡��Ӧ��ǿ��ٶȿ졢��ֲ��С.��:PIDNN��ϵͳ��Ӧ�ٶȿ졢��̬��ȸߡ� ��õĶ��̬��Ժ�³��,��ʵʱ��Ƶ�Ҫ��.

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�ؼ���� ΢��Ԫ��(PIDNN) ��ģ�� ˸�ϵͳ ʵʱ��

Abstract�� A control scheme based on proportional integral differential neural network (PIDNN) was proposed to control the highly nonlinear and vulnerable simulative aircraft and sensing system. Firstly, the models of the human perceive system for the simulative aircraft was analyzed and studied, the system formula was ratiocinated consequently, and its disturbance from outside environment was analyzed theoretically. Then its superior function of PIDNN controller for its on-line training, learning and regulating ability were used to control the system in simulation environment. Comprising the all-ready used traditional proportional integral differential (PID) controllers, PIDNN has simpler structure, stronger adaptability and faster tracing ability without singularity. The simulation experiment result shows that the PIDNN has properties of quick response and nice steady accuracy, and has a well static and dynamic and robust character, so it can meet the need of real-time control.

Keywords�� proportional integral differential neural network (PIDNN) simulative aircraft human perceive system real-time control

Fund:

��Ȼ��ѧ��Ŀ(60572185);�й��񺽷��ѧԺ��Ȼ��ѧ�о��Ŀ

About author: ��ΰ��(1982-),��,�ӱ�޻��,˶ʿ,1982dwj_1@126.com.

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��ΰ��,��,�λ�.��PIDNN��Ƶķ��ģ��˸�ϵͳ[J] ��պ��ѧѧ��, 2008,V34(02): 153-157

Dong Weijie, Liu Changhua , Song Hua.Human perceive system of simulative aircraft based on PIDNN[J] JOURNAL OF BEIJING UNIVERSITY OF AERONAUTICS AND A, 2008,V34(02): 153-157

��ӱ��:

http://bhxb.buaa.edu.cn//CN/ �� http://bhxb.buaa.edu.cn//CN/Y2008/V34/I02/153

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