Stochastic Responses of Vehicle-Bridge Coupling System

被引:0
作者
Lin Min [1 ]
Zhang Xiangwei [2 ]
Chen Siyuan [2 ]
机构
[1] Guangdong Coll Ind & Commerce, Guangzhou 510510, Guangdong, Peoples R China
[2] Guangdong Univ Technol, Guangzhou 510006, Guangdong, Peoples R China
来源
SUSTAINABLE ENVIRONMENT AND TRANSPORTATION, PTS 1-4 | 2012年 / 178-181卷
关键词
Pseudo Excitation Method; Computer Simulation; Active suspension; Multi-body dynamic; Ride performance simulation;
D O I
10.4028/www.scientific.net/AMM.178-181.2312
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper,we want to obtain the research of virtual vehicle-birdge coupling system, a vehicle-bridge coupling model was established based on the multi-point Pseudo Excitation Method model, and then the simulation result was gained by ANSYS. First,a detailed multi-body dynamic model of the vehicle was established by using ADAMS/VIEW software package; secondly, a stochastic controller was designed for active suspension system and worked out by means of Matlab/Simulink, the proposed control algorithm was integrated with the multi-body dynamic vehicle model and the coupling system simulations could be performed repeatedly until a satisfactory controller was achieved, the system was compared with a conventional passive one. Simulation results showed that the proposed active suspension considerably improved both the ride and handling performance of the vehicle.
引用
收藏
页码:2312 / +
页数:2
相关论文
共 50 条
  • [31] Active Electromagnetic Suspension System for Improved Vehicle Dynamics
    Gysen, Bart L. J.
    Paulides, Johannes J. H.
    Janssen, Jeroen L. G.
    Lomonova, Elena A.
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2010, 59 (03) : 1156 - 1163
  • [32] Integrated chassis control system to enhance vehicle stability
    Ghoneim, YA
    Lin, WC
    Sidlosky, DM
    Chen, HH
    Chin, YK
    Tedrake, MJ
    INTERNATIONAL JOURNAL OF VEHICLE DESIGN, 2000, 23 (1-2) : 124 - 144
  • [33] Simulation Research on an Electric Vehicle Chassis System Based on a Collaborative Control System
    Peng, Jiankun
    He, Hongwen
    Feng, Nenglian
    ENERGIES, 2013, 6 (01): : 312 - 328
  • [34] Modeling and Intelligent Control of Vehicle Active Suspension System
    Sun, Jianmin
    Yang, Qingmei
    2008 IEEE CONFERENCE ON ROBOTICS, AUTOMATION, AND MECHATRONICS, VOLS 1 AND 2, 2008, : 292 - +
  • [35] Optimising geometry and asymmetrical damping ratio to reduce vehicle vertical acceleration under stochastic road profile
    Fernandes, J. C. M.
    Silveira, M.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018), 2018, : 4283 - 4291
  • [36] Multi-body Dynamic Simulation and Vibro-acoustic Coupling Analysis of Bridge Crane Gearbox
    Yang, Yun
    Lin, Teng-jiao
    Liu, Wen
    Zhang, Jin-hong
    INTERNATIONAL CONFERENCE ON ADVANCED MANUFACTURE TECHNOLOGY AND INDUSTRIAL APPLICATION, AMTIA 2016, 2016, : 307 - 311
  • [37] Efficient uncertainty quantification for integrated performance of complex vehicle system
    Kwon, Kihan
    Ryu, Namhee
    Seo, Minsik
    Kim, Shinyu
    Lee, Tae Hee
    Min, Seungjae
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 139
  • [38] The Modeling of Electromagnetic Linear Actuator for Vehicle Active Suspension System
    Deng, Zhaoxiang
    Lai, Fei
    ADVANCES IN SCIENCE AND ENGINEERING, PTS 1 AND 2, 2011, 40-41 : 127 - 132
  • [39] Fast stochastic analysis for non-proportionally damped system
    Guo, Wei
    Yu, Zhi-Wu
    Guo, Zhen
    MECHANICS RESEARCH COMMUNICATIONS, 2011, 38 (06) : 468 - 470
  • [40] Time delay force control for vehicle active suspension system
    Ji, Xuan Dong
    Wan, Kim Jin
    Hai, Nan Yang
    Bae, Kim Young
    PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 3, 2007, : 640 - +