现代制造工程 ›› 2024, Vol. 529 ›› Issue (10): 98-104.doi: 10.16731/j.cnki.1671-3133.2024.10.013

• 车辆工程制造技术 • 上一篇    下一篇

基于多条件反馈调节的车辆悬架分级控制*

梁晓亮, 庞小兰, 谢娟烘   

  1. 广东理工学院智能制造学院,肇庆 526100
  • 收稿日期:2024-01-09 发布日期:2024-10-29
  • 通讯作者: 庞小兰,硕士,副教授,研究方向为汽车电子控制技术。
  • 作者简介:梁晓亮,硕士,副教授,研究方向为机械工程、车辆工程、汽车服务工程和交通运输。E-mail:lxliangxiaoliang@163.com
  • 基金资助:
    *国家自然科学基金项目(52175153);广东高校省级重点平台和重大科研项目(2017GXJK209)

Vehicle suspension hierarchical control based on multi condition feedback regulation

LIANG Xiaoliang, PANG Xiaolan, XIE Juanhong   

  1. Intelligent Manufacturing Institute,Guangdong Technology College,Zhaoqing 526100,China
  • Received:2024-01-09 Published:2024-10-29

摘要: 针对车辆悬架的传统控制系统难以兼容多个影响参数的问题,提出了一种基于多条件反馈调节的车辆悬架分级控制策略,该策略在PID控制系统的基础上引入了簧载质量加速度、非簧载质量加速度和路面激励这3个影响车辆悬架综合性能的因素。利用多个控制器分别组成了多个控制回路,选取簧载质量加速度作为主控制回路的控制因素对车辆悬架性能进行直接调节,选取非簧载质量加速度和路面激励作为2个辅助调节回路的控制因素,对主控制回路中PID控制器的控制参数进行二级调节,实现了多个控制回路的同时反馈控制,充分利用了影响车辆悬架性能的多个因素,使得车辆悬架PID控制器参数始终处于设定范围内的最优区间,能够更好地满足当前路面条件和行驶状态。仿真结果表明,在单凸起路面上,优化后控制系统的簧载质量加速度衰减到0的时间为0.8 s,相比于被动悬架和PID控制时间分别缩短了77.1 %和60.0 %;在正弦波动路面上,优化后控制系统的簧载质量加速度相比于被动悬架和PID控制分别降低了58.3 %和35.1 %。同时,在随机等级路面上簧载质量加速度、动挠度和动载荷也得到了明显改善,车辆的驾驶舒适性和行驶安全性得到了明显提高。

关键词: 多条件反馈, 分级控制, 舒适性, 安全性, 车辆悬架

Abstract: To address the issue that traditional vehicle suspension control systems struggle to accommodate multiple influencing parameters, a multi-condition feedback adjustment-based graded control strategy for vehicle suspension is proposed. This strategy introduces three factors affecting comprehensive vehicle suspension performance-spring mass acceleration, unsprung mass acceleration, and road surface excitation-into the traditional PID control system. By employing multiple controllers to form several control loops, spring mass acceleration is used as the primary control factor for direct adjustment of vehicle suspension performance, while unsprung mass acceleration and road surface excitation serve as control factors for two auxiliary adjustment loops, which adjust the PID controller parameters in the primary control loop. This allows simultaneous feedback control from multiple control loops, making full use of various factors affecting vehicle suspension performance and keeping the PID controller parameters within an optimal range. Simulation results show that, on a single bump road surface, the time for spring mass acceleration to decay to 0 in the optimized control system is 0.8 s, which is 77.1 % and 60.0 % shorter compared to passive suspension and PID control, respectively. On a sinusoidal wave road surface, spring mass acceleration is reduced by 58.3 % and 35.1 % compared to passive suspension and PID control, respectively. Additionally, on random graded road surfaces, spring mass acceleration, dynamic deflection, and dynamic load are significantly improved, enhancing vehicle ride comfort and driving safety.

Key words: multi conditional feedback, hierarchical control, comfort, safety, automobile suspension

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