Research on the Decoupling Control Algorithm of Full Vehicle Semi-active Suspension

被引:0
|
作者
Chen, Jianguo [1 ]
Cheng, Junsheng [2 ]
Nie, Yonghong [2 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Hubei Univ Automot Technol, Dept Mech Engn, Shiyan 442002, Hunan, Peoples R China
来源
关键词
Decoupling control; Differential geometry; Semi-active suspension; Full vehicle model; MODEL;
D O I
10.4028/www.scientific.net/AMR.479-481.1355
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Vehicle suspension is a MIMO coupling nonlinear system; its vibration couples that of the tires. When magneto-rheological dampers are adopted to attenuate vibration of the sprung mass, the damping forces of the dampers need to be distributed. For the suspension without decoupling, the vibration attenuation is difficult to be controlled precisely. In order to attenuate the vibration of the vehicle effectively, a nonlinear full vehicle semi-active suspension model is proposed. Considering the realization of the control of magneto-rheological dampers, a hysteretic polynomial damper model is adopted. A differential geometry approach is used to decouple the nonlinear suspension system, so that the wheels and sprung mass become independent linear subsystems and independent to each other. A control rule of vibration attenuation is designed, by which the control current applied to the magneto-rheological damper is calculated, and used for the decoupled suspension system. The simulations show that the acceleration of the sprung mass is attenuated greatly, which indicates that the control algorithm is effective and the hysteretic polynomial damper model is practicable.
引用
收藏
页码:1355 / +
页数:2
相关论文
共 50 条
  • [31] Modeling and Simulation of Semi-Active Suspension for Vehicle
    Li, Zhao Chang
    Lin, Zhang Zhu
    Juan, Li Ai
    INFORMATION COMPUTING AND APPLICATIONS, ICICA 2013, PT II, 2013, 392 : 373 - 383
  • [32] Optimal fuzzy control of a semi-active suspension of a full-vehicle model using MR dampers
    Wang, H
    Hu, HY
    Electrorheological Fluids and Magnetorheological Suspensions (ERMR 2004), Proceedings, 2005, : 595 - 601
  • [33] Nonlinear Dynamics of a Vehicle with a Semi-Active Suspension
    Mitura, A.
    Warminski, J.
    PROCEEDINGS OF THE TENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY, 2010, 93
  • [34] Semi-active magnetorheological suspension of a full-vehicle model based on combined vertical and attitude control
    Lyv, Peng
    Leng, Dingxin
    Li, Yancheng
    Xu, Tiancheng
    Wang Huixing
    Xu, Hanou
    2023 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, AIM, 2023, : 501 - 506
  • [35] Application of adaptive fuzzy control in vehicle semi-active suspension system
    2005, Chinese Society of Agricultural Machinery, Beijing, China (36):
  • [36] Semi-Active Control of Vehicle Seat Suspension System with Magnetorheological Damper
    Xing, Haijun
    Yang, Shaopu
    Shen, Yongjun
    MECHATRONICS AND INFORMATION TECHNOLOGY, PTS 1 AND 2, 2012, 2-3 : 1067 - 1070
  • [37] Gain-scheduling control for railway vehicle semi-active suspension
    Hammood, Husam
    Mei, T. X.
    DYNAMICS OF VEHICLES ON ROADS AND TRACKS, VOL 2, 2018, : 893 - 899
  • [38] Neuron PI control for semi-active suspension system of tracked vehicle
    Yi-hui Zeng
    Shao-jun Liu
    Jia-qiang E
    Journal of Central South University, 2011, 18 : 444 - 450
  • [39] Semi-active fuzzy cooperative control of vehicle suspension with a magnetorheological damper
    Li, Gang
    Huang, Qingsheng
    Hu, Guoliang
    Ding, Ruqi
    Zhu, Wencai
    Zeng, Liping
    JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES, 2023, 34 (18) : 2106 - 2123
  • [40] Negative stiffness based control strategy of vehicle semi-active suspension
    Wang, Wei-Rui
    Wu, Can
    Pan, Shuang-Xia
    Feng, Pei-En
    Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science), 2009, 43 (06): : 1129 - 1133