Research on Commercial Vehicle Path Tracking Based on Model Predictive Control
ID:47 View Protection:ATTENDEE Updated Time:2021-12-03 10:12:47 Hits:309 Poster Presentation

Start Time:2021-12-17 08:12(Asia/Shanghai)

Duration:1min

Session:P1 Poster2020 » P1T1Track 1 Advanced Transportation Information and Control Engineering

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Abstract
Aiming at the path tracking problem of commercial vehicles, the model predictive control strategy is adopted. A predictive model is established according to the two-degree-of-freedom vehicle model, which is transformed into a linear time-varying model by linearization and discretization. In order to ensure the stability of the vehicle, the front wheel steering angle, front wheel steering angle increment and the tire side-slip angle are constrained. The path tracking controller of linear time-varying model predictive control algorithm is established, and the co-simulation is carried out under different working conditions. The simulation results show that the proposed path tracking controller can ensure that the vehicle travels along the reference path, so that the vehicle achieves a good path tracking effect; the model predictive control algorithm has good adaptability to vehicle speed, vehicle load and road adhesion coefficient, which gurantees the stability of vehicle driving.
Keywords
CICTP
Speaker
Jie He
School of Automobile, Chang’an University

Submission Author
Jie He School of Automobile, Chang’an University
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Important Date
  • Conference Date

    Dec 17

    2021

    to

    Dec 20

    2021

  • Dec 16 2021

    Contribution Submission Deadline

  • Dec 24 2021

    Registration deadline

Sponsored By
Chinese Overseas Transportation Association
Chang'an University
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