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Bio-inspired adaptive formation tracking control for swarm systems with application to UAV swarm systems

机译:用于UAV Swarm Systems的群体系统的生物启发自适应形成跟踪控制

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Adaptive formation tracking problems for swarm systems with multiple leaders and switching topologies are studied in this paper. It is required that the followers form time-varying formations and track the positions of the leaders simultaneously, where the bio-inspired adaptive formation tracking control method is originated from the grey wolves with strict hierarchy and flexible communication structure. First, the grey wolf tracking strategy with four steps, including of level division, locating the prey, following the leaders, and encircling, is applied to swarm systems. Second, the adaptive formation tracking control protocol using neighboring relative state information is designed for swarm systems to achieve the adaptive formation tracking with switching topologies. Finally, the experiments of Unmanned Aerial Vehicle (UAV) swarm systems are performed using the visible simulation platform based on the Robot Operating System (ROS) and Gazebo to verify the adaptive formation tracking method. Inspired from the grey wolf tracking strategy, the adaptive formation tracking control method has been proposed, which improves the system stability and precision of the formation tracking.CO 2021 Elsevier B.V. All rights reserved.
机译:本文研究了具有多种领导者和开关拓扑的群体系统的自适应形成问题。需要追随者形成时变形并同时追踪领导者的位置,其中生物启发的自适应形成跟踪控制方法源自具有严格的等级和柔性通信结构的灰狼。首先,灰狼跟踪策略具有四个步骤,包括水平划分,定位猎物,遵循领导者和环绕的猎物,适用于群体系统。其次,使用相邻相对状态信息的自适应形成跟踪控制协议被设计用于群体系统,以实现具有切换拓扑的自适应形成跟踪。最后,使用基于机器人操作系统(ROS)和Gazebo的可见模拟平台来执行无人驾驶飞行器(UAV)群系统的实验,以验证自适应地层跟踪方法。从灰狼跟踪策略的启发,已经提出了自适应地层跟踪控制方法,这提高了地层跟踪的系统稳定性和精度.CO 2021 Elsevier B.V.保留所有权利。

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