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《Journal of Ordnance Equipment Engineering》 2017-02
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Research on Trajectory Prediction Guidance Law Based on Dynamic RBF Network Identification and Fuzzy Control

FENG Yao-xuan;BO Xue-gang;College of Mechatronic Engineering,North University of China;Jiangsu Yongfeng Mechanical Liability Co.,LTD.;  
Aiming at the problem that guidance coefficient is difficult to determine,and guidance precision is low,and poor adaptability and robustness,a target prediction guidance law based on dynamic RBF neural network on-line identification and fuzzy control theory with self adjustment factor was presented.Specifically,on the basis of the extrapolation filter upload target prediction guidance method,we took the impact point deviation and deviation change rate as the fuzzy controller input. Through the RBF neural network,the weights of the fuzzy control and the proportion of the whole set of fuzzy control,we achieved the adaptive adjustment of the guidance commands. The simulation shows that high accuracy of the measurement error can be obtained,and the guidance instruction is more adaptive and robust compared with the conventional method,considering the random disturbance and the measurement error,.
【CateGory Index】: TJ71;TP183
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