A novel adaptive heuristic dynamic programming-based algorithm for aircraft confrontation games

作     者：Yi Mao Zhijie Chen Yi Yang Yuxin Hu 

作者机构：State Key Laboratory of Air Traffic Management System and TechnologyNanjing 210007China 

出 版 物：《Fundamental Research》 (自然科学基础研究（英文版）)

年 卷 期：2021年第1卷第6期

页      面：792-799页

学科分类：08[工学] 

基　　金：supported by the China Postdoctoral Science Founda-tion(Grant No.2020M681750). 

主　　题：Aircraft confrontation Optimal control Neural network Adaptive heuristic dynamic programming Flight simulation 

摘      要：Intelligent confrontation has become a vital technology for future air combats.Confrontation games between a penetrating aircraft and an intercepting aircraft are essential for modern air combats.In addition,the perfor-mance indexes of both the interceptor and penetrator must be considered.Traditional methods only solve one side’s guidance problem without considering the intelligence of the opponent.In this paper,an adaptive heuristic dynamic programming-based algorithm is proposed for aircraft confrontation games.This algorithm constructs a heuristic dynamic programming model for both confrontation aircraft and then updates the critical and ac-tion network parameters using the dynamic confrontation state information.Numerical simulations indicate that the proposed algorithm can optimize the guidance law for both the interceptor and penetrator and is therefore superior to traditional proportional navigation methods.