Distributed Model Predictive Control for Heterogeneous Vehicle Platoons Under Unidirectional Topologies

YZYang ZhengSEShengbo Eben LiKLKeqiang LiFBFrancesco BorrelliJKJ. Karl Hedrick

University of Oxford · Tsinghua University · +1 more institution

Indexed inarxivcrossref

Abstract

This paper presents a distributed model predictive control (DMPC) algorithm for heterogeneous vehicle platoons with unidirectional topologies and a priori unknown desired set point. The vehicles (or nodes) in a platoon are dynamically decoupled but constrained by spatial geometry. Each node is assigned a local open-loop optimal control problem only relying on the information of neighboring nodes, in which the cost function is designed by penalizing on the errors between the predicted and assumed trajectories. Together with this penalization, an equality-based terminal constraint is proposed to ensure stability, which enforces the terminal states of each node in the predictive horizon equal to the average of…

Citation impact

561
total citations
FWCI
27.26
Percentile
100%
References
41
Citations per year

Authors

5
  • YZ
    Yang ZhengCorresponding

    University of Oxford, Tsinghua University

  • SE
    Shengbo Eben Li

    University of California, Berkeley, Tsinghua University

  • KL
    Keqiang Li

    Tsinghua University

  • FB
    Francesco Borrelli

    University of California, Berkeley

  • JK
    J. Karl Hedrick

    University of California, Berkeley

Topics & keywords

Keywords
  • Platoon
  • Network topology
  • Control theory (sociology)
  • Model predictive control
  • Constraint (computer-aided design)
  • A priori and a posteriori
  • Node (physics)
  • Stability (learning theory)
No related works found for this paper.