Autonomous air combat maneuver decision using Bayesian inference and moving horizon optimization

作     者：HUANG Changqiang DONG Kangsheng HUANG Hanqiao TANG Shangqin ZHANG Zhuoran 

作者机构：Aeronautics Engineering College Air Force Engineering University 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2018年第29卷第1期

页      面：86-97页

核心收录：

学科分类：0711[理学-系统科学] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 07[理学] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 071102[理学-系统分析与集成] 

基　　金：supported by the National Natural Science Foundation of China(61601505) the Aeronautical Science Foundation of China(20155196022) the Shaanxi Natural Science Foundation of China(2016JQ6050) 

主　　题：autonomous air combat maneuver decision Bayesian inference moving horizon optimization situation assessment fuzzy logic 

摘      要：To reach a higher level of autonomy for unmanned combat aerial vehicle(UCAV) in air combat games, this paper builds an autonomous maneuver decision system. In this system,the air combat game is regarded as a Markov process, so that the air combat situation can be effectively calculated via Bayesian inference theory. According to the situation assessment result,adaptively adjusts the weights of maneuver decision factors, which makes the objective function more reasonable and ensures the superiority situation for UCAV. As the air combat game is characterized by highly dynamic and a significant amount of uncertainty,to enhance the robustness and effectiveness of maneuver decision results, fuzzy logic is used to build the functions of four maneuver decision factors. Accuracy prediction of opponent aircraft is also essential to ensure making a good decision; therefore, a prediction model of opponent aircraft is designed based on the elementary maneuver method. Finally, the moving horizon optimization strategy is used to effectively model the whole air combat maneuver decision process. Various simulations are performed on typical scenario test and close-in dogfight, the results sufficiently demonstrate the superiority of the designed maneuver decision method.