| Frontiers in Robotics and AI | |
| Research on automatic emergency steering collision avoidance and stability control of intelligent driving vehicle | |
| Robotics and AI | |
| Guangqiang Wu1  TanXiaoqiang Tan1  Wudong Liu1  Gaobo Wen1  Zhaoyong Liu2  | |
| [1] School of Automotive Studies, Tongji University, Shanghai, China;School of Automotive Studies, Tongji University, Shanghai, China;Global Technology Co., Ltd, Nantong, China; | |
| 关键词: trajectory planning; stability control; LQR lateral control; emergency collision avoidance; direct yaw moment control; | |
| DOI : 10.3389/frobt.2023.1120658 | |
| received in 2022-12-10, accepted in 2023-02-06, 发布年份 2023 | |
| 来源: Frontiers | |
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【 摘 要 】
In view of the need for emergency steering to avoid collision when the vehicle is in a dangerous scene, and the stability control of the vehicle during collision avoidance. This paper proposes a planning and control framework. A path planner considering the kinematics and dynamics of the vehicle system is used to formulate the safe driving path under emergency conditions. LQR lateral control algorithm is designed to calculate the output steering wheel angle. On this basis, adaptive MPC control algorithm and four-wheel braking force distribution control algorithm are designed to achieve coordinated control of vehicle driving stability and collision avoidance safety. The simulation results show that the proposed algorithm can complete the steering collision avoidance task quickly and stably.
【 授权许可】
Unknown
Copyright © 2023 Liu, Wen, Liu, Tan and Wu.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202310109129803ZK.pdf | 3203KB |
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