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Adaptive Multi-Agent Unmanned Aerial Vehicle Systems with a Potential Field based Leader-Follower Formation Control Method

机译:具有基于潜在场的引导件式控制方法的自适应多功能无人驾驶空中车辆系统

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In this paper, we investigate the formation control of multiple unmanned aerial vehicles (UAVs) in an obstacle-laden environment for target tracking. The main contribution of this paper is to develop a potential field based leader-follower formation control method for target tracking and obstacle/collision avoidance. In the potential field, a quantity of virtual positive charge carried by each of UAVs varies depending upon their roles as a leader or follower when obstacles and targets are regarded as ions with larger positive and negative charges, respectively. Therefore, the formation formed by the UAVs connected with their inter-bonds could be adapted while the UAVs get around the obstacles and are attracted to the targets. The potential field based leader-follower formation control method is developed to reshape a UAV team configuration to track a target while the UAV team avoids the obstacles. The adaptivity and efficiency of the closed-loop UAV system was validated by simulating a flying formation of the multiple UAVs to track the target while the formation was adapted to avoid the obstacles.
机译:在本文中,我们研究了多个无人机(无人机)在障碍载体环境中的目标跟踪的形成控制。本文的主要贡献是开发一种基于潜在的基于领域的领导者 - 跟随器形成控制方法,用于目标跟踪和障碍/碰撞避免。在潜在的场中,每个无人机携带的虚拟正电荷量分别根据其角色而变化,当障碍物和靶被视为具有较大正和负电荷的离子时,它们的角色分别变化。因此,通过与其间键合的无人机形成的形成形成,同时无人机围绕障碍物并被吸引到目标。基于潜在的领域的领导者 - 跟随器形成控制方法是开发的,以重塑UAV团队配置来跟踪目标,而UAV团队避免障碍物。通过模拟多个无人机的飞行形成来验证闭环UAV系统的适应性和效率,以追踪目标,而形成避免障碍物。

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