博弈论
理论(学习稳定性)
控制(管理)
控制工程
路径(计算)
跟踪(教育)
自动控制
控制系统
车辆动力学
工程类
计算机科学
控制理论(社会学)
人工智能
航空航天工程
电气工程
数学
数理经济学
机器学习
程序设计语言
教育学
心理学
作者
Yuanlong Wang,Guanying Chen,Hengtao Jiang,Jiaqing Zhou,Tong Zhang,Guan Zhou,Chunyan Wang,Wanzhong Zhao
出处
期刊:IEEE Transactions on Vehicular Technology
[Institute of Electrical and Electronics Engineers]
日期:2025-01-15
卷期号:74 (5): 7392-7403
被引量:14
标识
DOI:10.1109/tvt.2025.3530102
摘要
Aiming at the multi-objective control problem of tracking accuracy and stability in the path tracking process of automated vehicles, a novel coordination control strategy for path tracking and stability of four-wheel steering and four-wheel independent driving (4WS-4WID) automated vehicles is proposed in this paper. The proposed control framework consists of a game theory-based upper controller and a torque distribution lower controller. The upper controller employs non-cooperative Nash game theory to derive a coordination control strategy based on a three-party game, aiming to investigate the interaction between Active Front Steering (AFS), Active Rear Steering (ARS), and Four-Wheel Independent Driving (4WID). The Nash equilibrium solution is obtained by solving the coupled Riccati equation within a linear quadratic differential game framework, which provides the front and rear wheel angles as well as yaw moment required for the path tracking process. The torques of four in-wheel motors are allocated by the lower controller through quadratic programming. To validate the effectiveness of the proposed approach, a joint simulation platform is constructed using CarSim/Simulink, and simulation tests are conducted. The results demonstrate that the coordination control strategy exhibits robust path tracking and lateral stabilization capabilities even under extreme operating conditions.
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