控制理论(社会学)
混蛋
偏航
弹道
电子稳定控制
控制器(灌溉)
车辆动力学
非完整系统
力矩(物理)
理论(学习稳定性)
计算机科学
工程类
控制工程
加速度
移动机器人
汽车工程
控制(管理)
机器人
人工智能
农学
物理
经典力学
天文
机器学习
生物
作者
Fanxun Wang,Tong Shen,Mingzhuo Zhao,Yanjun Ren,Yanbo Lu,Bin Feng,Guodong Yin
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:73 (1): 504-521
标识
DOI:10.1109/tvt.2023.3311200
摘要
Motion control of lane-change maneuvers under high-speed scenarios creates a great challenge for autonomous vehicles. However, a novel framework of lane-change trajectory planning and control based on the dynamic characteristics of distributed drive electric vehicles (DDEVs) is proposed in this paper to increase the possibility of safe driving in complex traffic conditions. First, a dilatational stability region determined by limits of stable yaw rate and saturated slip angles of each tire is employed to reveal dynamic instantaneous characteristics. On the basis of dilatational stability regions, the expanded envelopes by additional direct yaw moment can be identified by the expressions of irregular hexagons. Then, a series of unconstrained lane-change trajectory clusters can be generated to minimize longitudinal and lateral jerk, which is used to divide the global feasible region determined by the dilatational stability region and three-dimensional collision-free tunnel. Then, the technique for order preference for similarity to the ideal solution (TOPSIS) is utilized to achieve optimization of trajectory candidates from the global feasible region. The tracking controller aims at following the optimal lane-change trajectory, which is designed by the expanded stability boundaries of DDEV. Finally, simulations and experiments are conducted to validate the performance of the proposed planner and controller under high-speed, full-road and multi-vehicle traffic conditions.
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