摘要
设计了一种联合态势下无人机自主任务决策模型。该模型依托灰色预测在数据量较少的情况下进行数据预测,依托云模型理论评价态势数据的准确性,再结合粗糙集理论,提取出影响权重高的态势信息,形成灰色-粗糙集-云模型联合态势。然后,借鉴OODA环理论,设计基于OODA的分层控制。最后,借鉴“AlphaGoZero”的策略/评价两套独立神经网络通道,设计出无人机实时任务决策算法。通过两个场景的仿真,成功地进行了仿真验证。
A decision-making model of UAV autonomous confrontation under joint situation is designed.Firstly,the model relies on grey prediction to predict the data in the case of less data.It relies on cloud model theory to evaluate the accuracy of situation data and then form a joint situation of grey-rough-set cloud model by combing with rough set theory to extract the situation information with high influence weight.Then,using OODA loop theory for reference,a hierarchical control based on OODA is designed.Finally,based on the strategy/evaluation independent neural network channels of"AlphaGoZero",the UAV real-time countermeasure decision algorithm is designed.The above method is successfully verified by simulation in two scenarios.
作者
章豪
李昱辉
刘晟
付裕晖
杨贤德
ZHANG Hao;LI Yu-hui;LIU Sheng;FU Yu-hui;YANG Xian-de(Shanghai JiaoTong University,Shanghai 200240,China;China National Aeronautical Radio Electronics Research Institute,Shanghai 200241,China)
出处
《航空电子技术》
2024年第1期42-49,共8页
Avionics Technology
关键词
联合态势
分层控制
策略评价通道
joint situation
hierarchical control
strategy evaluation channel
