A novel control approach for path tracking of a force-controlled two-wheel-steer four-wheel-drive vehicle

Qifan Tan*, Lingling Shi, Jay Katupitiya

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

This paper presents a novel approach for a force-controlled over-actuated two-wheel-steer four-wheel-drive vehicle to achieve accurate path tracking through control allocation. The control algorithm is developed by combining embedded integrator model predictive control and sequential quadratic programming–based control allocation. Based on the offset model presented in this paper, the model predictive control can generate the virtual accelerations. Using these virtual accelerations in control allocation, the actual control inputs are obtained. The proposed method is then used in a simulation to demonstrate its successful implementation in path tracking.

Original languageEnglish
Pages (from-to)1480-1494
Number of pages15
JournalProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Volume233
Issue number6
DOIs
Publication statusPublished - 1 May 2019

Keywords

  • Autonomous ground vehicle
  • model predictive control
  • precision path tracking
  • sequential quadratic programming
  • vehicle force control

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