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Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory

机译:负虚系统理论的协同多智能体系统切换时不变形成控制

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The movement of cooperative robots in a densely cluttered environment may be impossible if the formation type is invariant. Hence, we investigate a novel method of switching time-invariant formation control for a group of heterogeneous autonomous vehicles, which may include Unmanned Ground Vehicles (UGV) and Unmanned Aerial Vehicles (UAV). We have extended a Negative Imaginary (NI) consensus control approach to switch the formation shape of the robots whilst only using the relative distances between agents, in combination with those between agents and obstacles. All agents can automatically create a new safe formation to overcome obstacles, then restore the prototype formation once the obstacles are cleared. We address the oscillation and local minima problems, generated by existing algorithms, using a newly developed circle fitting approach. We also highlight the advantages of our proposed algorithms over the kinematic controller and the conventional Artificial Potential Field (APF) controller from both theoretical and experimental standpoints. Simulation and experimental results are then analyzed to validate the feasibility of our proposed approach.
机译:如果编队类型不变,则协作机器人无法在茂密的环境中移动。因此,我们研究了一种对一组异构自动驾驶汽车进行时不变编队控制的新方法,其中包括无人地面飞行器(UGV)和无人飞行器(UAV)。我们扩展了负虚构(NI)共识控制方法,以切换机器人的编队形状,同时仅使用代理之间的相对距离以及代理和障碍物之间的相对距离。所有特工都可以自动创建一个新的安全编队以克服障碍,然后在清除障碍后恢复原型编队。我们使用新开发的圆拟合方法来解决由现有算法产生的振荡和局部最小值问题。从理论和实验的角度来看,我们还强调了我们提出的算法优于运动控制器和常规人工势场(APF)控制器的优势。然后对仿真和实验结果进行分析,以验证我们提出的方法的可行性。

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