Multi-Agent Formation Control and Trajectory Tracking via Singular Perturbation

S. Mastellone, D. Stipanović, M. Spong
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引用次数: 6

Abstract

We study the problem of formation control and trajectory tracking for a group of robotic systems modeled as second order linear dynamics. The objective is to achieve and maintain a stable formation for a group of multi-agent systems, while guaranteeing tracking of a specified trajectory. The group should appear to the external operator that steers the fleet as a rigid body. We partition the state space for the collective system into coordinates of the geometric center of mass of the team and coordinates that describe the relative position of each robot with respect to the center of mass, thus defining the formation shape. The resulting dynamics are in general coupled. By imposing holonomic constraints between the subsystems (i.e. configuration constraint) and hence reducing the system's dimension, we guarantee the group behaving as a rigid body. Using high gain feedback we achieve asymptotic decoupling between the center of mass and the shape dynamics and the analysis is performed using singular perturbation method. In fact, the resulting system is a singularly perturbed system where the shape dynamics describe the boundary layer while the center of mass dynamics describes the reduced system. After an initial fast transient in which the robots lock to the desired shape, a slower tracking phase follows in which the center of mass converges to the desired trajectory while maintaining a stable formation.
基于奇异摄动的多智能体编队控制与轨迹跟踪
研究了一类二阶线性动力学机器人系统的编队控制和轨迹跟踪问题。目标是实现并保持一组多智能体系统的稳定队形,同时保证对指定轨迹的跟踪。在操纵舰队的外部经营者看来,该集团应该是一个刚体。我们将集体系统的状态空间划分为团队的几何质心坐标和描述每个机器人相对于质心的相对位置的坐标,从而定义了编队形状。产生的动力学通常是耦合的。通过在子系统之间施加完整的约束(即配置约束),从而降低系统的维度,我们保证了群体作为刚体的行为。采用高增益反馈实现了质心与形状动力学的渐近解耦,并采用奇异摄动法进行了分析。实际上,所得到的系统是一个奇摄动系统,其中形状动力学描述了边界层,而质心动力学描述了化简系统。在机器人锁定到所需形状的初始快速瞬态之后,随后是一个较慢的跟踪阶段,在此阶段中,质量中心收敛到所需轨迹,同时保持稳定的队形。
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