中国机械工程 ›› 2022, Vol. 33 ›› Issue (02): 134-142.DOI: 10.3969/j.issn.1004-132X.2022.02.002

• 机械基础工程 • 上一篇    下一篇

基于作动器非线性特性的电磁主动悬架混合控制

胡一明;李以农;郑玲   

  1. 重庆大学机械传动国家重点实验室,重庆,400030
  • 出版日期:2022-01-25 发布日期:2022-02-18
  • 通讯作者: 李以农(通信作者),男,1961年生,教授、博士研究生导师。研究方向为新能源汽车底盘动力学及其控制、智能网联汽车。E-mail:ynli@cqu.edu.cn。
  • 作者简介:胡一明,男,1988年生,博士研究生。研究方向为新能源汽车、车辆振动噪声及其控制。E-mail:huyiming139@hotmail.com。
  • 基金资助:
    重庆市基础与前沿计划 (cstc2018jcyjAX0630);
    国家重点研发计划(2017YFB0102603-3)

Hybrid Control of Electromagnetic Active Suspensions Based on Nonlinear Actuators#br#

HU Yiming;LI Yinong;ZHENG Ling   

  1. State Key Laboratory of Mechanical Transmission,Chongqing University,Chongqing,400030
  • Online:2022-01-25 Published:2022-02-18

摘要: 针对电磁主动悬架直线作动器的非线性特性对控制系统性能的影响问题,基于磁场谐波理论建立了输入电流与电磁作动力的非线性数学模型。结合作动力输出模型与悬架系统,建立了电磁主动悬架非线性动力学模型,分析作动器非线性特性对主动悬架性能的影响。为了消除影响,设计了基于滤波递归最小二乘法(FxRLS)自适应滤波补偿的多目标粒子群H2/H∞鲁棒混合控制器。仿真结果表明,混合控制器能将控制力约束在非饱和区间内并能对控制力的波动进行有效的补偿,提高了车辆动力学性能及主动悬架的控制效率,显著地消除了作动器非线性特性对主动悬架的影响。

关键词: 电磁主动悬架, 非线性特性, 自适应滤波器, 多目标粒子群优化H2/H∞控制

Abstract: In response to the problems that the nonlinear characteristics of the electromagnetic active suspension linear actuators affected the performance of the control system, a nonlinear mathematical model of input current and electromagnetic actuation force was established based on the theory of magnetic field harmonics. A nonlinear dynamics model of electromagnetic active suspension was established by combining with the suspension systems, and the influences of nonlinear characteristics on active suspension performance were analyzed. In order to eliminate the influences of nonlinear characteristics, a MOPSOH2/H∞ robust controller was designed based on filter-x recursive least squares adaptive filter compensation. Simulation results show that the proposed hybrid controller may restrain the control force in the unsaturated interval and compensate the fluctuations of the control force effectively, which improves the vehicle dynamics performance and the control efficiency of the active suspensions, and significantly eliminates the influences of the nonlinear characteristics of the actuator on the active suspensions. 

Key words: electromagnetic active suspension, nonlinear characteristics, adaptive filter, multi-objective particle swarm optimization(MOPSO)H2/H∞ control

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