Targeting the strike issue of missiles under aerodynamic force models,research has been conducted on guidance law based on improved proportional navigation and deep learning.Firstly training data are generated randomly,followed by the creation of a mapping network based on the residual neural network to predict the error in remaining flight time.Then the predicted results are incorporated into the improved proportional navigation guidance law,allowing for effective convergence of both attack angle error and flight time error under the field-of-view angle constraint.Finally simulation results indicate that the guidance requirements are met by this method,demonstrating its effectiveness.Compared to traditional methods,this method exhibits superior performance in terms of attack angle error and flight time error.
关键词
制导律/飞行时间控制/剩余飞行时间预测/攻击角度控制/视场角约束/残差神经网络
Key words
Guidance Law/Control of Flight Time/Prediction of Remaining Flight Time/Control of Attack Angle/Field-of-view Constraint/Residual Neural Network
维普
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