| Nowadays,sustainable and efficient reconnaissance of specific targets is animportant aspect of unmanned aerial vehicle (UAV) applications. According tomission requirements, to allot the UAV reconnaissance resources reasonablly, todevelop a reconnaissance mission plans, multi-UAV mission planning is a keyelement in improving the performance of the UAV mission reconnaissance.Multi-UAV mission planning is a complex multi-constraint multi-objectiveoptimization problem. In order to improve multi-UAV overall reconnaissanceperformance,it concerns planning the UAV resources at the right time to carry outreconnaissance under the premise of UAV capacity constraints and reconnaissancemissions. This dissertation studies how to design the appropriate solutionalgorithm.The contributions are as follows:(1) Established a multi-UAVS mission planning model and designed a solutionalgorithm.Based on the analysis of UAVS reconnaissance missions and unmannedaerial vehicles,it designed the formal description of a reconnaissance mission andtask decomposition method, studied the single-airport-single-type andmulti-airport-multi-type problems of multi-task planning,established thecorresponding mathematical model and designed a solution algorithm.(2) Established a multi-UAVS mission replanning model and designed asolution algorithm. On the premise of multi-task initial planning and the analysis ofoccasion of Mission replanning,according to the needs of multi-missionreplanning,studied replanning based on new tasks, established the perturbationmodel of replanning, designed the algorithm based on mini-conflict value.(3)Developed a prototype system of multi-UAVS mission planning. Combinedwith theoretical studies of multi-UAVS mission planning and replanning model andalgorithm,developed a multi-UAVS mission planning system,designed thesimulation cases to validate the model and algorithm.The paper focus on the multi-UAVS mission planning, it’s aimed to improvethe effectiveness of multi-UAVS mission planningon. |
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