重庆理工大学学报2024，Vol.38Issue(23)：59-66,8.DOI:10.3969/j.issn.1674-8425(z).2024.12.008
车辆队列自适应模型预测控制
Research on adaptive model predictive control of vehicle queue
摘要
Abstract
To prevent the overly long workshop distance between vehicles in a queue and the low speed as well as to avoid collisions between the vehicles under the condition of rapid deceleration,we study an adaptive model predictive control method for the vehicle queue.Based on the model predictive control theory,the upper controller is designed.The rear car calculates the acceleration according to the information of the front one.The fuzzy controller is designed to dynamically adjust the weight ratio of the model predictive control to improve the control accuracy.The co-simulation model is built in MATLAB/Simulink and CarSim software platform.The experimental conditions are created and a comparison experiment is conducted.Results show our method achieves fairly good workshop distance control and fast convergence speed,improving the overall driving safety.关键词
队列纵向控制/模型预测控制/车辆队列/安全性/模糊控制Key words
queue vertical control/distributed model predictive control/vehicle formation/stability/fuzzy control分类
交通工程引用本文复制引用
于鑫雨,李刚,陈桂洋,逄淑一..车辆队列自适应模型预测控制[J].重庆理工大学学报,2024,38(23):59-66,8.基金项目
辽宁省教育厅重点攻关项目(JYTZD2023081) （JYTZD2023081）
辽宁省自然基金资助项目(2022-MS-376) （2022-MS-376）
