吉林大学学报(理学版) ›› 2025, Vol. 63 ›› Issue (2): 445-0453.

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基于模糊控制的半车悬架系统姿态协调控制

闫子阳1, 刘善辉1, 庄晔1, 梁志华2,3, 陈帝印2,3   

  1. 1. 吉林大学 汽车底盘集成与仿生全国重点实验室, 长春 130025;
    2. 汽车智能仿真重庆市重点实验室, 重庆 401133;  3. 重庆长安汽车股份有限公司, 重庆 400023
  • 收稿日期:2023-11-02 出版日期:2025-03-26 发布日期:2025-03-26
  • 通讯作者: 庄晔 E-mail:zhuangye@jlu.edu.cn

Attitude Coordination Control of Semi-vehicle Suspension System Based on Fuzzy Control

YAN Ziyang1, LIU Shanhui1, ZHUANG Ye1, LIANG Zhihua2,3, CHEN Diyin2,3   

  1. 1. National Key Laboratory of Automotive, Chassis Integration and Bionics, Jilin University, Changchun 130025, China; 2. Chongqing Municipal Key Laboratory of Vehicle Intelligent Simulation, Chongqing 401133, China; 3. Chongqing Chang’an Automobile Co., Ltd., Chongqing 400023, China
  • Received:2023-11-02 Online:2025-03-26 Published:2025-03-26

摘要: 基于遗传算法和改进粒子群优化算法相结合的智能优化方法对车辆滑模控制器进行优化, 并在其基础上应用到半车悬架模型中. 首先利用模糊控制的控制方法设计车身姿态补偿模糊控制器, 然后结合两种控制策略, 确定最终的半主动悬架控制策略, 抑制车身俯仰角. 实验结果表明, 该控制器性能优越, 能有效抑制汽车行驶过程中车身俯仰角的变化, 改善汽车行驶的平顺性.

关键词: 滑模控制器, 半车模型, 半主动悬架控制, 模糊控制, 控制策略

Abstract: Based on the intelligent optimization method combining genetic algorithm and improved particle swarm optimization algorithm, we optimized the vehicle sliding mode controller, and on the basis of which it was applied to the semi-vehicle suspension model. Firstly,  the body attitude compensation fuzzy controller was designed by using the fuzzy control method. Secondly,  the final semi-active suspension control strategy was determined by combining the two control strategies to suppress the body pitch angle. The experimental results show that the controller  has excellent performance, which can effectively suppress the variation of the body pitch angle during the process of driving and improve the smoothness of the vehicle travel.

Key words: sliding mode controller, semi-vehicle model, semi-active suspension control, fuzzy control, control strategy

中图分类号: 

  • TP18