火力与指挥控制2018，Vol.43Issue(3)：34-39,6.DOI:10.3969/j.issn.1002-0640.2018.03.008
基于蒙特卡洛树搜索方法的空战机动决策
Air Combat Maneuver Decision Based on MCTS Method
摘要
Abstract
Aiming at both sides' maneuver decision problem in air combat,the maneuver decision model including maximum air combat superiority expectation is established based on angel,distance,velocity change and altitude dominant function and the Monte Carlo tree search method is introduced to solve the problem.The search strategy uses the minimax search algorithm.Against the confrontation between the two aircrafts,the simulation results of air combat situation and advantage change curves show that our fighter is in the dominant position for the most part in the whole process of air combat and using MCTS method for air combat maneuvering decision is feasible.At the same time,the real-time performance of the algorithm is simulated.The results show that the average time of the algorithm computing maneuver action is short and this meets the real-time request.关键词
空战/机动决策/空战优势/蒙特卡洛树搜索Key words
air combat/maneuver decision/air combat superiority/MCTS分类
军事科技引用本文复制引用
何旭,景小宁,冯超..基于蒙特卡洛树搜索方法的空战机动决策[J].火力与指挥控制,2018,43(3):34-39,6.基金项目
国家自然科学基金青年基金(71501184) （71501184）
航空科学基金资助项目(20155196022) （20155196022）
