汽车工程 ›› 2025, Vol. 47 ›› Issue (10): 1973-1984.doi: 10.19562/j.chinasae.qcgc.2025.10.013

• • 上一篇    

基于输出反馈观测器的主动悬架鲁棒模型预测抗扰控制

朱冰1,李海乔1,赵健1,陈志成1(),侯杰2,王仕伟2,丁树伟2   

  1. 1.吉林大学,汽车底盘集成与仿生全国重点实验室,长春 130000
    2.中国第一汽车集团有限公司,长春 130000
  • 收稿日期:2024-11-29 修回日期:2025-01-12 出版日期:2025-10-25 发布日期:2025-10-20
  • 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);国家自然科学基金(52172386);吉林省长春市重大科技专项(20220301009GX┫项目和中国博士后科学基金面上项目┣2024M753063)

Robust Model Predictive Anti-Disturbance Control for Active Suspension System Based on Output Feedback Observer

Bing Zhu1,Haiqiao Li1,Jian Zhao1,Zhicheng Chen1(),Jie Hou2,Shiwei Wang2,Shuwei Ding2   

  1. 1.Jilin University,National Key Laboratory of Automotive Chassis Integration and Bionics,Changchun 130000
    2.China FAW Group Corporation,Changchun 130000
  • Received:2024-11-29 Revised:2025-01-12 Online:2025-10-25 Published:2025-10-20
  • Contact: Zhicheng Chen E-mail:chenzhicheng@jlu.edu.cn

摘要:

为克服主动悬架系统 (active suspension system, ASS) 执行器时滞与外界随机输入等非线性扰动问题,减少其对高成本传感器的依赖,提出一种基于输出反馈观测器的鲁棒模型预测抗扰控制 (observer-based robust model predictive anti-disturbance control, OB-RMPAC) 策略。首先,建立考虑执行器时滞扰动的半车主动悬架系统动力学模型;其次,通过二次有界性条件构建可在外界随机输入扰动下精确估计ASS状态的输出反馈观测器;再次,综合应用不变集理论、线性矩阵不等式与凸优化技术,设计满足ASS多约束的鲁棒模型预测抗扰控制策略;最后,分析并证明闭环控制系统的递推可行性与鲁棒稳定性。测试结果表明,OB-RMPAC可在精确估计系统状态的基础上显著改善装配ASS车辆的动态性能。

关键词: 主动悬架, 鲁棒模型预测抗扰控制, 输出反馈观测器, 非线性扰动

Abstract:

To overcome the nonlinear disturbance such as actuator delay and external random input in Active Suspension System (ASS), and reduce its dependence on high-cost sensors, an Output Feedback Observer-based Robust Model Predictive Anti-disturbance Control (OB-RMPAC) strategy is proposed. Firstly, the dynamics model of half-car active suspension system is established considering the nonlinear disturbance of actuator delay. Secondly, an output feedback observer which can accurately estimate the state of ASS under external nonlinear input disturbance is constructed by applying the quadratic boundedness condition. Thirdly, the robust model predictive anti-disturbance control strategy that satisfies multiple constraints of ASS is designed by combining invariant set theory, linear matrix inequality and convex optimization techniques. Finally, the recursive feasibility and robust stability of the closed-loop predictive control system are analyzed and proved. The test results show that the OB-RMPAC strategy proposed in this paper can significantly improve the dynamic performance of vehicle equipped with ASS on the basis of accurate estimation of system state.

Key words: active suspension, robust model predictive anti-disturbance control, output feedback observer, nonlinear disturbance