Robust formation control for networked robotic systems using Negative Imaginary dynamics

被引:34
作者
Hu, Junyan [1 ]
Lennox, Barry [2 ]
Arvin, Farshad [2 ]
机构
[1] UCL, Dept Comp Sci, London WC1E 6BT, England
[2] Univ Manchester, Dept Elect & Elect Engn, Manchester M13 9PL, Lancs, England
基金
英国工程与自然科学研究理事会;
关键词
Multi-robot systems; Swarm robotics; Negative Imaginary systems; Fault-tolerant control; Robustness; VARYING FORMATION CONTROL; COORDINATED CONTROL; DESIGN;
D O I
10.1016/j.automatica.2022.110235
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a consensus-based formation tracking scheme for multi-robot systems utilizing the Negative Imaginary (NI) theory. The proposed scheme applies to a class of networked robotic systems that can be modelled as a group of single integrator agents with stable uncertainties connected via an undirected graph. NI/SNI property of networked agents facilitates the design of a distributed Strictly Negative Imaginary (SNI) controller to achieve the desired formation tracking. A new theoretical proof of asymptotic convergence of the formation tracking trajectories is derived based on the integral controllability of a networked SNI systems. The proposed scheme is an alternative to the conventional Lyapunov-based formation tracking schemes. It offers robustness to NI/SNI-type model uncertainties and fault-tolerance to a sudden loss of robots due to hardware/communication fault. The feasibility and usefulness of the proposed formation tracking scheme were validated by lab-based real-time hardware experiments involving miniature mobile robots.(C) 2022 Elsevier Ltd. All rights reserved.
引用
收藏
页数:9
相关论文
共 37 条
  • [31] Hybrid adaptive negative imaginary-neural-fuzzy control with model identification for a quadrotor
    Tran, Vu Phi
    Mabrok, Mohamed A.
    Garratt, Matthew A.
    Petersen, Ian R.
    [J]. IFAC JOURNAL OF SYSTEMS AND CONTROL, 2021, 16
  • [32] Tzafestas S G., 2013, Introduction to Mobile Robot Control, P1, DOI DOI 10.1016/C2013-0-01365-5
  • [33] Robust formation control in SE(3) for tree-graph structures with prescribed transient and steady state performance
    Verginis, Christos K.
    Nikou, Alexandros
    Dimarogonas, Dimos V.
    [J]. AUTOMATICA, 2019, 103 : 538 - 548
  • [34] Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory
    Vu Phi Tran
    Garratt, Matthew
    Petersen, Ian R.
    [J]. CONTROL ENGINEERING PRACTICE, 2020, 95
  • [35] Robust cooperative control of multiple heterogeneous Negative-Imaginary systems
    Wang, Jianan
    Lanzon, Alexander
    Petersen, Ian R.
    [J]. AUTOMATICA, 2015, 61 : 64 - 72
  • [36] Robust Output Feedback Consensus for Networked Negative-Imaginary Systems
    Wang, Jianan
    Lanzon, Alexander
    Petersen, Ian R.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (09) : 2547 - 2552
  • [37] Yang NC, 2019, IEEE DECIS CONTR P, P897, DOI 10.1109/CDC40024.2019.9029331