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Simulation of Efficient Cooperative UAVs using Modified PSO Algorithm

机译:用改进的PSO算法仿真高效合作无人机

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摘要

Unmanned Aerial Vehicles (UAVs), better known as drones, are one of the major technological developments of today. Groups of UAV are of special interest for their abilities to coordinate simultaneous coverage of large areas, or cooperate to achieve goals such as mapping. Cooperation and coordination in UAV groups also allows increasingly large numbers of aircraft to be operated by a single user. Our project aims to develop an algorithm for commanding multiple UAV's to co-operatively perform multiple tasks and to assign specify tasks to each vehicle without collision, congestion and overlapping by exact localizing each drone. We are planning to develop a real time algorithm that works possibly under communications constraints and other uncertainties and failures. For simulating of our algorithm, we use Dronekit, Ardupilot, pixhawk v and MAVlink protocol. Then we can embed the algorithm in real time in a Quadcopter using Ardupilot controller.
机译:无人驾驶飞行器(无人机),更像是无人机,是今天的主要技术发展之一。 无人机团体对其协调大面积的同时覆盖的能力是特别的兴趣,或者合作以实现映射等目标。 UAV组的合作与协调还允许由单个用户运营的越来越大的飞机。 我们的项目旨在开发一种用于命令多个UAV的算法,以共同可操作地执行多个任务,并在没有碰撞,拥塞和重叠的情况下,通过精确定位每个无人机来分配指定任务的指定任务。 我们计划开发一个实时算法,这些算法可能在通信限制和其他不确定性和故障下工作。 为了模拟我们的算法,我们使用Dronekit,Ardupilot,PIXHAWK V和MAVLINK协议。 然后,我们可以使用Ardupilot控制器实时在Quadcopter中实时嵌入算法。

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