Research on Commercial Vehicle Path Tracking Based on Model Predictive Control
编号:47 访问权限:仅限参会人 更新:2021-12-03 10:12:47 浏览:150次 张贴报告

报告开始:2021年12月17日 08:12(Asia/Shanghai)

报告时间:1min

所在会场:[P1] Poster2020 [P1T1] Track 1 Advanced Transportation Information and Control Engineering

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摘要
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.
关键词
CICTP
报告人
Jie He
School of Automobile, Chang’an University

稿件作者
Jie He School of Automobile, Chang’an University
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重要日期
  • 会议日期

    12月17日

    2021

    12月20日

    2021

  • 12月16日 2021

    报告提交截止日期

  • 12月24日 2021

    注册截止日期

主办单位
Chinese Overseas Transportation Association
Chang'an University
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