汽车工程 ›› 2024, Vol. 46 ›› Issue (12): 2329-2338.doi: 10.19562/j.chinasae.qcgc.2024.12.018

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考虑动态多目标需求的车辆横摆稳定性自适应控制策略

吴坚,王瀚林,朱冰,赵健,陈志成()   

  1. 吉林大学,汽车底盘集成与仿生全国重点实验室,长春 130022
  • 收稿日期:2024-04-13 修回日期:2024-05-27 出版日期:2024-12-25 发布日期:2024-12-20
  • 通讯作者: 陈志成 E-mail:chenzhicheng@jlu.edu.cn
  • 基金资助:
    国家自然科学基金(52302471);长沙市“揭榜挂帅”重大科技项目(kq2207008);吉林省重大科技专项(20220301009GX)

Adaptive Control Strategy for Vehicle Yaw Stability Considering Dynamic Multi-objective Requirements

Jian Wu,Hanlin Wang,Bing Zhu,Jian Zhao,Zhicheng Chen()   

  1. Jilin University,State Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130022
  • Received:2024-04-13 Revised:2024-05-27 Online:2024-12-25 Published:2024-12-20
  • Contact: Zhicheng Chen E-mail:chenzhicheng@jlu.edu.cn

摘要:

针对车辆在不同行驶状态下对横摆操纵性和侧向稳定性的动态多目标需求,提出一种横摆稳定性自适应控制策略。首先,通过分段线性拟合技术建立车辆动力学模型,综合应用改进双线法和模糊理论在相平面中获取与路面附着和纵向速度相关的动态稳定域边界;随后,对车辆行驶时的稳定性风险进行量化表征,引入动态多目标映射函数调整基于模型预测理论设计的稳定性控制策略内置参数,匹配车辆侧向稳定性、横摆操纵性和执行器能耗等动态多目标需求。最后,通过仿真试验,论证了设计的控制策略能够在多种工况下帮助车辆获得比传统方法更安全、优质的稳定性控制效果。

关键词: 车辆工程, 稳定性自适应控制, 多目标需求, 动态稳定域, 模型预测控制

Abstract:

For the dynamic multi-objective requirements of yaw maneuverability and lateral stability under different driving states, an adaptive control strategy for vehicle yaw stability is proposed. Firstly, the vehicle dynamics model is established by piecewise linear fitting technology, and the dynamic stability region boundary related to road adhesion and longitudinal velocity is obtained in phase plane by integrated application of improved two-line method and fuzzy theory. Then, the stability risk during vehicle driving is quantitatively characterized and the dynamic multi-objective mapping function is introduced to adjust the built-in parameters of the stability control strategy designed based on the model predictive theory so as to match the dynamic multi-objective demand of vehicle lateral stability, yaw maneuverability and actuator energy consumption. Finally, the simulation test results prove that the designed control strategy can help the vehicle obtain safer and better stability control effect than the traditional method under various conditions.

Key words: vehicle engineering, stability adaptive control, multi-objective requirements, dynamic stability region, model predictive control