Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (09): 2087-2097.doi: 10.16182/j.issn1004731x.joss.21-0388

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Research on Cooperative Adaptive Cruise Control Strategy Based on Improved MPC

Qiming Wang1(), Jiangyue Jiang1, Zhichao Lü2, Hanzu Zhang1   

  1. 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
    2.College of Automotive Studies, Tongji University, Shanghai 201804, China
  • Received:2021-04-30 Revised:2021-07-02 Online:2022-09-18 Published:2022-09-23

Abstract:

To solve the problems of environmental interference, sensor noise and poor tracking stability of time-varying speed, an improved MPC (model predictive control) algorithm based on KF (kalman filtering) is proposed. The longitudinal kinematics model of CACC(cooperative adaptive cruise control)between vehicles is established and the discrete state space equation is created. KF is used to reduce the noise of state variables, and at the same time, the prediction model is designed for robustness. The CACC control objectives are analyzed under different working conditions and the objective optimization functions are created. Verify by building Simulink and CarSim co-simulation model, the simulation results indicate that the improved MPC algorithm performs better, which improves economy of the fuel and driving comfort of vehicles, achieves stable tracking of time-varying speed.

Key words: automotive engineering, cooperative adaptive cruise, model predictive control, Kalman filter, time-varying speed

CLC Number: