Research on Shooter Modeling of Image Guided Missile Based on Neural Network

摘要：

In the human-machine-environment system of shootermissile-battlefield,shooter is very important for image guided missile to track and attack targets in complex ground successfully.To build the model of shooter,the angle error between missiles optical axis and line of sight,and the change rate of the angle error were set to be inputs of model.The variable describing handle movement controlled by shooter was regarded as the output of model.Based on one group of representative data of shooter,the method of principal component analysis and Bayesianregularization BP neural network were adopted to build the model by means of neural network identification.Simulation results prove that the neural network model of shooter is of good precision and good generalization ability.The model can be applied to design of guidance and control system of the missile and the method of shooter modeling can provide reference for modeling of human in other systems.

关键词： shooter modeling neural network identification human-machine-environment

作者: Wang Xiaofang Lin Hai

作者单位: School of Aerospace Engineering Beijing Institute of Technology Beijing,China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 488-492

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）