Multiple UAV Simulation with Multiresolution Multistage Models and Decision Support
Type of DegreeThesis
DepartmentComputer Science and Software Engineering
MetadataShow full item record
Multi UAV simulation is a dynamic multi-simulation of multiple Unmanned Aerial Vehicles (UAV) activities in the battlefield with multiresolution multistage models. Decision support is implemented under this simulation. It provides an intelligent agent supported by decision making subsystem based on the decision making model. It deals with the uncertainty of the battlefield and presents a multiple simulations with Multiresolution Multistage (MRMSM) model. Unmanned Aerial Vehicle is one of the effective devices in the future battlefield and has many advantages. Single UAV has been used in the battlefield. Multiple UAVs have more advantages than a single UAV to attack a group of targets. A UAV team can accomplish tasks that a single one can not execute alone. The requirement to coordinate multi-UAVs continues to surface in both defense and civil applications. Multiple UAVs form teams and need to cooperate well in the battlefield to attack efficiently and effectively. Decision support subsystem generates two strategies that could be selected for the UAV team action. Bayesian Network is used for making decisions to select a strategy for UAV team in a specific situation. Based on the selected strategy, UAV team could attack the targets in an effective manner. In this simulation, there are multiple simulations working on different platforms at multiple stages. They exchange information in a timely manner with each other and are dynamically launched, updated or reconfigured, and stopped. These actions are supported by the decision making model. There are five main parts in this simulation, Matlab Simulink, Filter, Tactical Federate, High resolution and Visualization. Each part works on its own platform. These parts dynamically work with each other and communicate with each other and exchange data timely. This paper focuses on the Simulink, Filter, Tactical federate and communication between parties. The results show that each part can work independently and cooperate well with each other. UAV team can effectively attack battalions which are target clusters. The two-dimension visualization for low resolution and three-dimension visualization for high resolution show the entire simulation scenario at different stages.