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Research on vehicle Path Tracking Control based on MPC

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Published:15 March 2023Publication History

ABSTRACT

Aiming at the problem of path tracking of unmanned vehicles, this paper built a vehicle kinematics model and carried out discretization, designed a vehicle lateral motion controller based on model predict control (MPC) to track the vehicle's path on the basis of the existing path, and carried out controller simulation through MATLAB. Simulation results show that the controller has a certain path tracking accuracy.

References

  1. Guo H, Shen C, Zhang H, Simultaneous trajectory planning and tracking using an MPC method for cyber-physical systems: A case study of obstacle avoidance for an intelligent vehicle[J]. IEEE Transactions on Industrial Informatics, 2018, 14 (9): 4273-4283.Google ScholarGoogle ScholarCross RefCross Ref
  2. Yu Z, Wang J. Automatic vehicle trajectory tracking control with self-calibration of nonlinear tire force function[C]//2017 American Control Conference (ACC). IEEE, 2017: 985-990.Google ScholarGoogle Scholar
  3. Rajesh Rajamani. Vehicle Dynamics and Control [M], China Machine Press, 2018.Google ScholarGoogle Scholar
  4. Gong Jianwei, Jiang Yan, Xu Wei. Predictive Control of Driverless Vehicle Model [M], Beijing: Beijing Institute of Technology Press, 2014.Google ScholarGoogle Scholar
  5. Wang Yuhan. Research on Trajectory Tracking Control Method of Autonomous Vehicle Based on Fast MPC [D]. Jilin University, 2021. DOI: 10.27162/d.cnki.gjlin.2021.005688.Google ScholarGoogle Scholar

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  1. Research on vehicle Path Tracking Control based on MPC

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      cover image ACM Other conferences
      EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
      October 2022
      1999 pages
      ISBN:9781450397148
      DOI:10.1145/3573428

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      Publication History

      • Published: 15 March 2023

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