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基于前馈LQR算法的机电式主动悬架控制研究

王凯正 林棻 狄桓宇 钟国旗

重庆理工大学学报2025,Vol.39Issue(13):53-59,7.
重庆理工大学学报2025,Vol.39Issue(13):53-59,7.DOI:10.3969/j.issn.1674-8425(z).2025.07.007

基于前馈LQR算法的机电式主动悬架控制研究

Research on electromechanical active suspension control based on feedforward LQR method

王凯正 1林棻 2狄桓宇 1钟国旗1

作者信息

  • 1. 广州汽车集团股份有限公司,广州 510623
  • 2. 南京航空航天大学能源与动力学院,南京 210016
  • 折叠

摘要

Abstract

The electromechanical active suspension system adjusts the vehicle's vertical performance by providing motor torque.Due to the moment of inertia property of the electromechanical system,the classic 2-DOF quarter vehicle suspension model fails to describe the motion of this suspension system.Moreover,road information is regarded as a disturbance term in the state-space of the suspension.Since road excitation is not accurately estimated,a multi-dimensional LQR control law considering road excitation cannot be directly formulated.To address the problems above,a novel active suspension feedforward control method(FF-LQR)is designed.In the FF-LQR method,LQR is designed based on 3-DOF quarter vehicle suspension model.The real-time feedback of the suspension working space is realized by building a tire-body motion model.Then,the control law of front feed method is designed with suspension working space.Simulation results show FF-LQR further reduces the RMS values of the vehicle body's vertical acceleration and tire dynamic deformation compared to the LQR algorithm,thus improving vehicles' ride comfort.

关键词

主动悬架系统/1/4车悬架模型/前馈控制/LQR算法

Key words

active suspension/quarter vehicle suspension model/front feed control/LQR algorithm

分类

交通工程

引用本文复制引用

王凯正,林棻,狄桓宇,钟国旗..基于前馈LQR算法的机电式主动悬架控制研究[J].重庆理工大学学报,2025,39(13):53-59,7.

基金项目

广东省科技计划项目(2023B1212020010) (2023B1212020010)

重庆理工大学学报

OA北大核心

1674-8425

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