<p>This article focuses on the trajectory planning and tracking control of autonomous vehicles with tire blowouts in complex traffic flows. First, a lane change decision method for obstacle avoidance is developed based on coordinate system transformation projection. Second, combining this decision method, a lattice algorithm is developed with the kinematic constraint of the vehicle with a tire blowout to plan the trajectory in real-time. Third, the trajectory tracking control is decoupled longitudinally and laterally in the Frenet coordinate system. The existence of the optimal solution can be ensured by constructing a longitudinal speed control optimization problem and solving explicitly based on the Pontryagin maximum principle. Lateral displacement control problems are constructed and solved quickly by using the back-stepping method, in which Lyapunov stability can be demonstrated. Finally, the effectiveness of the proposed methods was verified through co-simulation.</p>

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Trajectory planning and tracking control for vehicles with tire blowout in complex traffic flows

  • Dongsheng Yang,
  • Di Liu,
  • Bing Han,
  • Guoxiang Lu,
  • Lingan Kong,
  • Chaosheng Huang,
  • Jun Li

摘要

This article focuses on the trajectory planning and tracking control of autonomous vehicles with tire blowouts in complex traffic flows. First, a lane change decision method for obstacle avoidance is developed based on coordinate system transformation projection. Second, combining this decision method, a lattice algorithm is developed with the kinematic constraint of the vehicle with a tire blowout to plan the trajectory in real-time. Third, the trajectory tracking control is decoupled longitudinally and laterally in the Frenet coordinate system. The existence of the optimal solution can be ensured by constructing a longitudinal speed control optimization problem and solving explicitly based on the Pontryagin maximum principle. Lateral displacement control problems are constructed and solved quickly by using the back-stepping method, in which Lyapunov stability can be demonstrated. Finally, the effectiveness of the proposed methods was verified through co-simulation.