A Coalitional MPC Approach to Control of Collaborative Vehicle Platoons

Journal Article (2023)
Author(s)

P. Chanfreut (Eindhoven University of Technology, University of Seville)

T. Keijzer (TU Delft - Team Riccardo Ferrari)

Jose Maria Maestre (University of Seville)

Riccardo Ferrari (TU Delft - Team Riccardo Ferrari)

Research Group
Team Riccardo Ferrari
Copyright
© 2023 P. Chanfreut, T. Keijzer, J. M. Maestre, Riccardo M.G. Ferrari
DOI related publication
https://doi.org/10.1016/j.ifacol.2023.10.1142
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 P. Chanfreut, T. Keijzer, J. M. Maestre, Riccardo M.G. Ferrari
Research Group
Team Riccardo Ferrari
Issue number
2
Volume number
56
Pages (from-to)
8518-8523
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Abstract

This work presents a coalitional model predictive controller for collaborative vehicle platoons. The overall system is modeled as a string of locally controlled vehicles that can share data through a wireless communication network. The vehicles can dynamically form disjoint groups that coordinate their actions, i.e., the so-called coalitions. The control goals are keeping a desired reference distance between all vehicles while allowing for occasional switching of the communication topology. Likewise, the presented controller promotes a string-stable evolution of the platoon system. Numerical results are provided to illustrate the proposed approach.