Abstract
AbstractThe survival probability and operational efficiency of the aircraft can be improved when choosing the right route. In order to fully consider the formation state of MAV (Manned Aerial Vehicle) and UAV (Unmanned Aerial Vehicle) in complex battlefield environment and improve the adaptability of collaborative route planning, a model framework of collaborative route planning based on intelligent emotion mode is proposed. Firstly, an intelligent emotion model of UAV based on cognitive load of MAV operator and dynamic battlefield situation information is established by using DFCM (Dynamic Fuzzy Cognitive Maps); then, the intelligent emotion is introduced into the calculation model of UAV threat avoiding radius, and the route planning evaluation model focusing on the safety of route is established; finally, the intelligent emotion model is applied to the route planning based on artificial potential field method, Astar algorithm and genetic algorithm, and the simulation results are compared to verify the effectiveness and adaptability of the intelligent emotion based route planning methods for MAV and UAV by AHP (Analytic Hierarchy Process).KeywordsMAV/UAVIntelligent emotion modeCollaborative route planningDynamic fuzzy cognitive maps (DFCM)
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