Nonlinear Model Predictive Control for Preview-Based Traction Control
<|reference_start|>Nonlinear Model Predictive Control for Preview-Based Traction Control: This study presents a nonlinear model predictive control (NMPC) formulation for preview-based traction control, which uses the information on the expected tire-road friction coefficient ahead to enhance the wheel slip control performance, in the context of connected vehicles with V2X features. Proof-of-concept experiments on an electric vehicle prototype highlight the real-time capability of the controller, and the wheel slip control performance improvement brought by the tire-road friction coefficient preview. Finally, an experimentally validated simulation model is used in sensitivity analyses, to evaluate the performance benefit of the preview-based controller for different dynamic characteristics (e.g., time constant and pure time delays) of the electric powertrains.<|reference_end|>
@article{tavolo2024nonlinear,
    title={Nonlinear Model Predictive Control for Preview-Based Traction Control},
    author={Gaetano Tavolo, Kai Man So, Davide Tavernini, Pietro Perlo, Aldo
  Sorniotti},
    journal={arXiv preprint arXiv:2406.02206},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.02206},
    primaryClass={eess.SY cs.SY}
}