Research on Trajectory Tracking Lateral Control of Intelligent Vehicle Based on Nested Sliding Mode

Zhang, Bingli; Zheng, Pingping; Zhang, Jie; Tang, Wei; Shen, Gan

doi:10.1007/978-981-15-7945-5_39

Cited by 1 publication

(1 citation statement)

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“…Under normal road conditions, the cornering stiffness of the tire can be assumed to be constant when the wheel angle is small. As the vertical load and the driving state of the vehicle being constantly changing, the linear assumption of the cornering stiffness will bring great model error, and it is difficult to guarantee the stability and tracking accuracy of the vehicle (Zhang et al, 2022). Especially when the vehicle turns at high speed, the path tracking controller will cause an accident due to the control failure caused by this model error (Berntorp et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Integrated control method for path tracking and lateral stability of distributed drive electric vehicles with extended Kalman filter–based tire cornering stiffness estimation

Yue

Shangguan

et al. 2023

Journal of Vibration and Control

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Aiming at the lack of adaptability of vehicle parameters under extreme conditions, this paper proposes an integrated control method for path tracking and lateral stability of distributed drive electric vehicles based on tire cornering stiffness adaptive model predictive control (MPC) scheme. The control method integrates active front steering and direct yaw control to improve the path tracking and lateral stability performance of distributed drive electric vehicles. Firstly, considering the influence of vertical load transfer, the tire cornering stiffness is estimated based on the extended Kalman filter (EKF) algorithm. Then, using this online updated tire cornering stiffness value, an adaptive MPC controller for path tracking and lateral motion stability of distributed drive electric vehicles is constructed. Meanwhile, a fuzzy sliding mode control (Fuzzy-SMC)–based longitudinal velocity controller is established to ensure the accuracy of velocity tracking. Also, according to the distributed driving characteristics of the controlled system, a tire torque distributor based on weighted pseudo-inverse (WPI) is designed with the minimum tire load rate as the optimization objective, where the road adhesion condition and the maximum output torque of the motor are considered as constraints. The simulation results show that the proposed integrated control method based on tire cornering stiffness adaptive model predictive control is robust and effective. Compared with constant cornering stiffness model predictive control–based control method, it can improve the vehicle path tracking accuracy and lateral motion stability under extreme conditions.

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Section: Introductionmentioning

confidence: 99%