Formation Control in Agents' Local Coordinate Frames for Arbitrary Initial Attitudes

IF 5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Control of Network Systems Pub Date : 2024-07-19 DOI:10.1109/TCNS.2024.3431416
Chinmay Garanayak;Dwaipayan Mukherjee
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Abstract

In this article, we address formation tracking control in agents' body coordinate frames while imposing no assumptions, such as positive definiteness on agents' initial attitude matrix. Difficulty in achieving formation control is exacerbated when agents are unable to access their absolute attitudes relative to a common frame of reference, and initial attitude matrices are required to be restricted to special sets. Addressing this issue, we present a distributed fixed-time attitude synchronization law, which utilizes only relative attitude measurements to align the agents' coordinate frames almost globally in finite time and locally in fixed time. The proposed law ensures the global asymptotic convergence of formation tracking error for displacement-based formation control in a leader–follower topology. We also establish global uniformly asymptotic stability for bearing-only formation tracking. A Lyapunov-based attitude estimation algorithm is proposed to estimate the attitudes up to a common reference frame in finite time without using Gram–Schmidt orthogonalization. For nonholonomic agents, formation stabilization in agents' local coordinate frame is studied using these attitude estimates and bearing-only measurements. Finally, to illustrate the applicability of our results, simulations are presented.
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任意初始姿态下的代理局部坐标系编队控制
在这篇文章中,我们在不施加假设的情况下解决了智能体身体坐标框架中的编队跟踪控制问题,例如智能体初始姿态矩阵的正确定性。当智能体无法获得相对于一个共同参照系的绝对姿态,并且初始姿态矩阵需要限制在特殊集合中时,实现编队控制的困难就会加剧。针对这一问题,我们提出了一种分布式固定时间姿态同步法,该方法仅利用相对姿态测量值在有限时间内几乎全局对齐,在固定时间内局部对齐。该律保证了leader-follower拓扑下基于位移的群体控制的群体跟踪误差的全局渐近收敛性。建立了全方位编队跟踪的全局一致渐近稳定性。提出了一种基于lyapunov的姿态估计算法,该算法在有限时间内不使用Gram-Schmidt正交化来估计到一个公共参考系的姿态。对于非完整智能体,利用姿态估计和方位测量,研究了智能体局部坐标系下的编队稳定问题。最后,为了说明我们的结果的适用性,给出了仿真。
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来源期刊
IEEE Transactions on Control of Network Systems
IEEE Transactions on Control of Network Systems Mathematics-Control and Optimization
CiteScore
7.80
自引率
7.10%
发文量
169
期刊介绍: The IEEE Transactions on Control of Network Systems is committed to the timely publication of high-impact papers at the intersection of control systems and network science. In particular, the journal addresses research on the analysis, design and implementation of networked control systems, as well as control over networks. Relevant work includes the full spectrum from basic research on control systems to the design of engineering solutions for automatic control of, and over, networks. The topics covered by this journal include: Coordinated control and estimation over networks, Control and computation over sensor networks, Control under communication constraints, Control and performance analysis issues that arise in the dynamics of networks used in application areas such as communications, computers, transportation, manufacturing, Web ranking and aggregation, social networks, biology, power systems, economics, Synchronization of activities across a controlled network, Stability analysis of controlled networks, Analysis of networks as hybrid dynamical systems.
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