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INTELLIGENT CONTROL OF UAVs FOR CONSENSUS-BASED ANDNETWORK CONTROLLED APPLICATIONS

机译:基于共识和网络控制应用的无人机智能控制

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During the past few years, research in the field of cooperative control of swarm of robots and specially Unmanned Aerial Vehicles (UAV) has continuously increased. Towards this goal this paper identifies three problems: the development of a testbed for UAVs, the implemen-tation of an ad hoc network and a protocol based on network control, and a consensus control algorithm for cooperative control of UAVs. Furthermore, a combination of Fuzzy Logic Control (FLC) and Model Reference Adaptive Control (MRAC) was developed to stabilize and control a fixed-wing UAV. The testbed currently enables us to perform waypoint navigation using a global positioning system (GPS) while at the same time maintains the UAV stable. Also, the control is transferable to similar UAV models with little to no change to the algorithm. The commu-nication protocol designed for the ad hoc network has proved to be reliable for our application and can be expanded to be used with different number of agents. The algorithm of consensus control has been analyzed and tested in simulation. Future work will allow implementing the consensus control as centralized control or distributed control.
机译:在过去的几年中,在机器人和特别是无人机群的协同控制领域的研究不断增加。为了实现这一目标,本文确定了三个问题:无人机的测试平台的开发,基于网络控制的ad hoc网络和协议的实现以及无人机协同控制的共识控制算法。此外,还开发了模糊逻辑控制(FLC)和模型参考自适应控制(MRAC)的组合来稳定和控制固定翼无人机。目前,该试验台使我们能够使用全球定位系统(GPS)执行航点导航,同时保持无人机稳定。同样,该控制可转移至类似的无人机模型,而算法几乎没有改变。事实证明,为ad hoc网络设计的通信协议对于我们的应用程序是可靠的,并且可以扩展为与不同数量的代理一起使用。共识控制算法已经在仿真中进行了分析和测试。未来的工作将允许将共识控制实现为集中控制或分布式控制。

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