基于分布式自适应的多智能体容错一致性控制

针对"领航者-跟随者"的多智能体编队，由于领航者系统出现故障引起编队通讯中断而不能完成任务的问题，提出了一种基于一致性理论的分布式自适应控制方法，用于解决该问题。首先，以一个位于顶点的智能体作为领航者，其余3个位于同一条线上的智能体作为跟随者，由此所构成的三角形编队作为被控对象。其中，领航者速度方向作为编队的前行方向，跟随者位于领航者之后。其次，基于图论，对智能体局部信息参数进行分布式自适应更新，并设计分布式自适应控制律，用于弥补多智能体编队中领航者故障所造成的影响。同时，根据相邻智能体的局部信息，设计整体分布式自适应容错控制律，进一步通过构建合理的Lyapunov函数，证明所设计控制器的稳定性，以及"领航者-跟随者"之间相对横向以及相对纵向的距离误差均收敛于固定常数。最后，仿真验证表明：所提出的自适应控制方法具有良好的鲁棒性，这也为工程实践提供了理论依据。     

Connectivity preservation and collision avoidance control for spacecraft formation flying in the presence of multiple obstacles

This paper addresses connectivity preservation and collision avoidance problem of spacecraft formation flying with multiple obstacles and parametric uncertainties under a proximity graph. In the proximity graph, each spacecraft can only get the states of the neighbor spacecraft within its sensing region. Connectivity preservation of a graph means that the connectivity of the graph should be preserved at all times during spacecraft formation flying. We consider two cases: (i) the obstacles are static, and (ii) the obstacles are dynamic. In the first case, a distributed continuous control algorithm based on artificial potential function and equivalent certainty principle is proposed to account for the unknown parameters and the static obstacles. In the second case, a sliding surface combined with a distributed adaptive control algorithm is proposed to tackle the influence of the dynamic obstacles and the unknown parameters at the same time. With the distributed control algorithms, the desired formation configuration can be achieved while the connectivity of the graph is preserved and the collisions between the spacecraft and the obstacles are avoided. Numerical simulations are presented to illustrate the theoretical results.     

Consensus disturbance rejection control of directed multi-agent networks with extended state observer

This paper investigates the consensus disturbance rejection problem among multiple high-order agents with directed graphs. Based on disturbance observers, distributed consensus disturbance rejection protocols are constructed in leaderless and leader-follower consensus setups. Different from the previous related papers, the consensus protocols in this paper are developed in a fully distributed fashion, relying on only the state information of each agent and its neighbors. Sufficient conditions are provided to guarantee that the asymptotic stability of high-order multi-agent systems can be reached with matched disturbances.     

某型弹道式飞行器分布式测试训练系统设计

针对弹道式飞行器技术准备流程复杂、测试仪器与设备体系庞大、施训环节易受制约等问题,提出了一种基于分布式交互仿真技术的测试训练系统框架.在分析某型弹道式飞行器测试训练系统功能需求基础上,在Visual C++6.0集成开发环境下,采用虚拟仪器仪表技术和高端数据采集技术设计了与实装软硬件人机接口一致的模拟系统;采用面向对象...     

Distributed state estimation for linear time-invariant dynamical systems: A review of theories and algorithms

Distributed state estimation is of paramount importance in many applications involving the large-scale complex systems over spatially deployed networked sensors. This paper provides an overview for analysis of distributed state estimation algorithms for linear time invariant systems. A number of previous works are reviewed and a clear classification of the main approaches in this field are presented, i.e., Kalman-filter-type methods and Luenberger-observer-type methods. The design and the stabil...     

基于最大一致容积Kalman滤波器的多机器人协同定位CSCD

机器人位置信息是多机器人系统执行任务的前提,单个机器人因传感器载荷和作用范围的限制,难以完成复杂环境中的定位任务,多个机器人通过协作可实现大范围下的位置确定。将配置多个传感器的同构机器人群替换为配置单个或少量传感器的异构机器人可降低硬件成本,并且通过设计协同算法,不会降低定位精度。提出了一种将容积Kalman滤波器与最大一致思想融合后的新型滤波算法,并将该算法应用于麦克纳姆轮机器人系统。通过仿真和实物验证了最大一致容积Kalman滤波器的协同定位效果。     

Distributed coordinated control scheme of UAV swarm based on heterogeneous roles

This paper proposes a new distributed coordinated control scheme based on heterogeneous roles for Unmanned Aerial Vehicle(UAV) swarm to achieve formation control. First, the framework of the distributed coordinated control scheme is designed on the basis of Distributed Model Predictive Control(DMPC). Then, the effect of heterogeneous roles including leader, coordinator and follower is discussed, and the role-based cost functions are developed to improve the performance of coordinated control for...     

Pattern control for large-scale spacecraft swarms in elliptic orbits via density fields

Space swarms, enabled by the miniaturization of spacecraft, have the potential capability to lower costs, increase efficiencies, and broaden the horizons of space missions. The formation control problem of large-scale spacecraft swarms flying around an elliptic orbit is considered. The objective is to drive the entire formation to produce a specified spatial pattern. The relative motion between agents becomes complicated as the number of agents increases. Hence, a density-based method is adopted...     

分布式卫星系统(DSS)及其自主控制技术分析

DSS系统本身的复杂性以及工作环境的不确定性 ,导致利用传统的控制方法对其进行控制十分困难。本文对DSS及其自主控制技术进行了分析。首先介绍了DSS的概念、结构及其支撑技术 ;其次阐述了卫星自主运行的研究进展 ,解析了空间飞行器RemoteAgent智能自主控制系统的基本构成 ;然后介绍了DSS自主运行技术的研究现状 ;接下来重点分析了基于multi -agent的DSS自主控制涉及的关键技术及面临的挑战 ;最后进行了总结     

拦截高超声速目标的异类导弹协同制导律

对于多导弹协同拦截高超声速目标的问题,设计了一种具有领弹-从弹拓扑结构的异类导弹协同制导律:配备有高性能导引头的领弹采用改进比例导引法拦截目标;未配备导引头的从弹利用通信手段,采用二阶一致性跟踪算法,对领弹进行跟踪。两类导弹同时命中目标,形成"多对一"的拦截态势。异构型的制导策略可以降低对导引设备的需求,具备较理想的作战效费比。领弹与从弹的弹道均源于改进比例导引法,具有较理想的弹道特性。给出了协同制导律在固定拓扑与切换拓扑下成立的充分条件。算例仿真验证了所提出的制导律能够实现对高超声速目标的协同拦截,具有良好的可行性。