A Lateral Control Method of Intelligent Vehicles Based on Shared Control

Author:

Li GangORCID,Shang Pengfei,Zheng Changbing,Sun Dehui

Abstract

This paper studies the lateral control problem for intelligent vehicles based on the concept of shared control. Considering the participation of drivers in the control loop, a shared control-based lateral controller is designed, which consists of two differed controllers: one is an LQR-based autonomous driving controller and the other is a driver’s intention-based fuzzy controller. For the vehicle dynamic model with two-degrees of freedom, an autonomous driving controller based on LQR and a driver’s intention-based fuzzy controller are designed. Then, the lateral controller based on shared control is constructed, which integrates the aforementioned two controllers. Finally, the co-simulation by MATLAB/Simulink and Carsim is presented. Furthermore, simulation results show that the designed lateral controller can track the desired path with better performance than the LQR-based autonomous driving controller.

Funder

National Key Research and Development Program of China

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimized Longitudinal and Lateral Control Strategy of Intelligent Vehicles Based on Adaptive Sliding Mode Control;World Electric Vehicle Journal;2024-08-27

2. Robust model-free adaptive iterative learning control for an autonomous bus trajectory tracking system;Science Progress;2024-04

3. Lane-changing decision and planning under humanized games for intelligent vehicles;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-04-01

4. Human–Machine Shared Steering Control Under High-Speed Emergency Obstacle Avoidance Scenarios;Transportation Research Record: Journal of the Transportation Research Board;2023-10-31

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