1、FUZZY LOGIC BASED UAV ALLOCATION AND COORDINATION James F.Smith III,ThanhVu H.Nguyen Code 5741,Naval Research Laboratory,Washington,DC,20375-5320,USA james.smithnrl.navy.mil Keywords decision support systems,distributed control systems,fuzzy control,knowledge-based systems applications,software agen
2、ts for intelligent control systems Abstract A fuzzy logic resource allocation algorithm that enables a collection of unmanned aerial vehicles(UAVs)to automatically cooperate will be discussed.The goal of the UAVs coordinated effort is to measure the atmospheric index of refraction.Once in flight no
3、human intervention is required.A fuzzy logic based planning algorithm determines the optimal trajectory and points each UAV will sample,while taking into account the UAVs risk,risk tolerance,reliability,and mission priority for sampling in certain regions.It also considers fuel limitations,mission c
4、ost,and related uncertainties.The real-time fuzzy control algorithm running on each UAV renders the UAVs autonomous allowing them to change course immediately without consulting with any commander,requests other UAVs to help,and change the points that will be sampled when observing interesting pheno
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