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具有扰动的二阶多智能体系统预定时间一致性控制

Prespecified-time Consensus Control for Second-order Multi-agent Systems with Disturbances

  • 摘要: 针对具有外部扰动的二阶多智能体系统的一致性控制问题,提出一种基于滑模技术的分布式预定时间控制策略。在无向图条件下设计二阶分布式预定时间观测器,在解决代数环问题以及降低通信负担的基础上,确保每个跟随者能够在预定时间内准确估计出领导者的状态信息;利用系统状态误差,设计一种新型的分布式预定时间滑模面,有效提高系统的收敛速度;进一步地,通过设计一种考虑外部扰动的预定时间一致性分布式控制协议,实现系统状态跟踪误差在预定时间内收敛到零点。此外,结合代数图论以及李雅普诺夫理论,证明闭环系统的预定时间稳定性,并能够在系统初始状态未知的情况下得到稳定时间上界的估计值。最后,进行数值仿真对比实验验证所提策略及分析结论的有效性与可行性。结果表明:与有限时间控制策略相比,本文所提策略的收敛时间与系统初始值无关,且收敛性能更优;与固定时间控制策略相比,本文所提策略的收敛时间上界与智能体初始状态无关,仅依赖于单一时间参数,且独立于控制器参数,具有收敛时间预估精确、设定简单、保守性低等优势。

     

    Abstract: Aiming at the consensus control problem of second-order multi-agent systems with external disturbances, a distributed predefined-time control strategy based on sliding mode technology was proposed. Under the condition of an undirected graph, a second-order distributed predefined-time observer was designed to ensure that each follower can accurately estimate the leader’s state information within a predefined time, while addressing the algebraic loop problem and reducing communication burden. By utilizing the system state error, a novel distributed predefined-time sliding surface was designed to effectively improve the system’s convergence speed. Furthermore, a predefined-time consensus distributed control protocol considering external disturbances was designed to ensure that the system state tracking error converges to zero within the predefined time. Additionally, by combining algebraic graph theory and Lyapunov theory, the predefined-time stability of the closed-loop system was proven, and an estimate of the upper bound of the stabilization time could be obtained even when the initial system state was unknown. Finally, numerical simulation comparison experiments were conducted to verify the effectiveness and feasibility of the proposed strategy and analytical conclusions. The results show that, compared with finite-time control strategies, the convergence time of the proposed strategy is independent of the system's initial values and exhibits superior convergence performance. Compared with fixed-time control strategies, the upper bound of the convergence time of the proposed strategy is independent of the initial states of the agents, depends only on a single time parameter, and is independent of the controller parameters, offering precise estimation of the convergence time, simpler setup, and lower conservatism.

     

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