[1]刘志强,张 晴.自适应时域参数 MPC 的智能车辆轨迹跟踪控制[J].郑州大学学报(工学版),2024,(01):47-53.[doi:10.13705/j.issn.1671-6833.2023.04.005]
 LIU Zhiqiang,ZHANG Qing.Intelligent Vehicle Trajectory Tracking Control Based on Adaptive Time Domain Parameter MPC[J].Journal of Zhengzhou University (Engineering Science),2024,(01):47-53.[doi:10.13705/j.issn.1671-6833.2023.04.005]
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自适应时域参数 MPC 的智能车辆轨迹跟踪控制()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
期数:
2024年01期
页码:
47-53
栏目:
出版日期:
2024-01-19

文章信息/Info

Title:
Intelligent Vehicle Trajectory Tracking Control Based on Adaptive Time Domain Parameter MPC
作者:
刘志强 张 晴
江苏大学 汽车与交通工程学院,江苏 镇江 212013
Author(s):
LIU Zhiqiang ZHANG Qing
College of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China
关键词:
智能车辆 轨迹跟踪 模型预测控制 自适应 前轮主动转向
Keywords:
intelligent vehicle trajectory tracking model predictive control adaptiveactive front steering
DOI:
10.13705/j.issn.1671-6833.2023.04.005
文献标志码:
A
摘要:
为了解决智能车辆在低附着路面下主动转向跟踪控制的稳定性和控制精度问题,提出了一种基于自适应 时域参数的智能车辆轨迹跟踪控制策略。 基于车辆动力学模型和模型预测控制算法(MPC) 建立线性时变 MPC 控 制器,并加入包括轮胎侧偏角约束、质心侧偏角约束以及前轮转角约束的动力学约束,求解出最优前轮转向角。 分 析控制器中的时域参数对控制效果的影响,设计了一种自适应时域参数控制器,能够根据获取的车辆速度,将求解 得到最优的预测时域和控制时域参数输入到控制器,提高控制器在不同速度下的控制精度和稳定性。 通过搭建 MATLAB / SimuLink 与 CarSim 联合仿真平台,在低附着路面情况下对固定时域控制器和自适应时域控制器进行对 比仿真实验。 结果表明:自适应时域控制器能够有效改善控制器的性能、减少横向偏差、提高轨迹跟踪控制精度, 同时对不同速度也具有较强的适应性,车辆质心侧偏角也控制在 0° ~ 15°内,有效保证了车辆行驶的稳定性。
Abstract:
In order to solve the problem of stability and control accuracy of intelligent vehicle active steering tracking control on low adhesion road surface, an intelligent vehicle trajectory tracking control strategy based on adaptive time domain parameters was proposed. Based on the vehicle dynamics model and model predictive control algorithm (MPC) , a linear time-varying MPC controller was established, and dynamic constraints including tire side deflection constraints, centroid side deflection constraints and front wheel angle constraints were added to solve the optimal front wheel steering angle. The influence of time domain parameters in the controller on the control effect was analyzed, and an adaptive time domain parameter controller was designed. According to the acquired vehicle speed, the optimal predictive time domain and control time domain parameters were obtained and input to the controller, improving the control accuracy and stability of the controller at different speeds. By building the MATLAB / SimuLink and CarSim co-simulation platform, the fixed time domain controller and adaptive time domain controller were compared and simulated with the condition of low adhesion road surface. The results showed that the adaptive time-domain controller could effectively improve the performance of the controller, reduce the lateral deviation, and improve the control accuracy of trajectory tracking. At the same time, it also had strong adaptability to different speeds, and the lateral deflection angle of the vehicle center of mass was controlled within 0°-1. 5°, which effectively ensured the stability of the vehicle.
更新日期/Last Update: 2024-01-24