Hierarchical Distributed MPC for Longitudinal and Lateral Vehicle Platoon Control with Collision Avoidance

Hankun Liu, Zhiwen Qiang, Li Dai*, Boli Chen, Yuanqing Xia

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a hierarchical distributed model predictive control (MPC) method for vehicle platoon control in both longitudinal and lateral directions. In the upper layer, a novel path-planning module and a trajectory-fusion module are utilized to compute a smooth reference trajectory for each follower. In the lower layer, the longitudinal and lateral distributed model predictive controllers are decoupled to control the velocity and steering respectively. To ensure safety and reduce the computation burden, the constraints to avoid collision are reformulated by using the strong duality theory. A simulation is conducted to demonstrate the effectiveness of the proposed control algorithm in maintaining platoon formation and ensuring the safety of the platoon.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages2676-2682
Number of pages7
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Collision avoidance constraints
  • Distributed model predictive control
  • Longitudinal and lateral control
  • Vehicle platoon

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