事件触发机制下的ASV仿射编队机动控制

Affine formation maneuver control for multiple autonomous surface vehicles under event-triggered inter-vehicle communication

  • 摘要:
    目的 针对通信资源受限的水面自主航行器(ASV)编队问题,提出基于事件触发的ASVs分布式仿射编队控制算法。
    方法 首先,通过应用仿射变换理论,为ASVs设计一种更简便的编队操纵方式,使编队内的智能体可以完成缩放、平移、旋转和剪切等整体编队动作,以及这些动作变换之间的相互组合;然后,提出一种新的事件触发机制,让ASVs仅在满足触发条件的时刻才与邻居个体进行通信,以节省通信和计算资源,并避免Zeno行为。
    结果 通过稳定性分析,证明了闭环误差的收敛性及系统的最终有界稳定性;通过仿真分析,证明了编队能够完成多样化的几何变换,同时事件触发机制降低了通信频率并节省了78%的通信资源,有效减少了能量消耗。
    结论 该算法通过仿射变换提高了编队的灵活性,并通过降低通信频率节约了能量消耗,研究成果可为ASVs编队的优化设计提供参考。

     

    Abstract:
    Objectives This study aims to develop a formation maneuver control mechanism for multiple autonomous surface vehicles (ASVs) suffering from external and parameter uncertainties. Meanwhile, considering the limitation of resources equipped on ASVs, it is preferred to design a resource-saving formation control algorithm.
    Methods Firstly, affine transformation is embedded into our control scheme, thus ASVs can achieve rotation, scaling, translation and shearing motion as a union, as well as the combination of these motions. By virtue of this operation, formation can be flexibility maneuvered in a distributed manner. Secondly, to handle with limited communication resources, an event-triggered mechanism is proposed and incorporated into our algorithm. Wherein, by evaluating the triggering condition, vehicles merely communicate with their neighbors if necessary, i.e., when the predesigned triggering condition is satisfied. Benefited from this process, inter-vehicle communication frequency can be effectively reduced and resources are utilized more effectively.
    Results Stability analysis demonstrates the convergence of all closed-loop error signals to a compact set, ensuring the ultimate boundedness of the closed-loop system. Simulation results verify that the proposed algorithm enables the formation to achieve diverse geometric transformations, while the event-triggered mechanism reduces the communication frequency, resulting in an 78% saving in communication resources and energy consumption.
    Conclusions The proposed algorithm enhances the flexibility of ASV formations through the use of affine transformations and reduces energy consumption by lowering the communication frequency. The research results can provide reference for the optimization design of ASVs formation.

     

/

返回文章
返回