Optimal design and dynamic control of the HMDV inertial suspension based on the ground-hook positive real network

被引:12
|
作者
Li, Yu [1 ]
Yang, Xiaofeng [1 ]
Shen, Yujie [2 ]
Liu, Yanling [1 ]
Wang, Wei [1 ]
机构
[1] Jiangsu Univ, Sch Automot & Traff Engn, Zhenjiang 212013, Peoples R China
[2] Jiangsu Univ, Automot Engn Res Inst, Zhenjiang 212013, Peoples R China
基金
中国国家自然科学基金;
关键词
HMDV; Inertial suspension; Low frequency; Positive real network; Ground-hook; SWITCHED RELUCTANCE MOTOR; TORQUE CONTROL; VIBRATION; MODEL; DRIVEN; SYSTEM;
D O I
10.1016/j.advengsoft.2022.103171
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The positive real network of the inertial suspension system can effectively suppress the low frequency vibration of vehicle, but the improvement effect of it at medium and high frequency band is not significant. The groundhook control can obviously reduce the vibration of the dynamic tire load at high frequency band. The motors of Hub Motor Drive Vehicle (HMDV) can increase the dynamic tire load, so the paper combines the inertial suspension and the ground-hook control to achieve the reduction of the dynamic tire load at the wider frequency domain. Firstly, the quarter-vehicle kinetic model with the Switched Reluctance Motor (SRM) is established. Then the constraints of the first order and the second order ground-hook positive real networks are identified, and the structural parameters are optimized respectively. In addition, the influences of the first order and the second order ground-hook positive real networks on the dynamic tire load are analyzed. Lastly, the controller based on the Model Reference Adaptive Control (MRAC) is designed to control the mechatronic inerter to achieve the ideal performance output. Simulation results show that, the Root Mean Square (RMS) values of dynamic tire load and suspension working space of the controllable inertial suspension is reduced by 18.21%, 28.26% respectively by comparing to the conventional suspension. And the dynamic tire load is suppressed at the wider frequency domain, which verify that the advantages of the inertial suspension and the ground-hook control are utilized effectively.
引用
收藏
页数:15
相关论文
共 50 条
  • [31] Dynamic optimal design of bevoloid gear RV reducer based on neural network
    Wu, J.F.
    Li, G.X.
    Li, H.M.
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2001, 12 (09):
  • [32] Predictive optimal coupling design of control and scheduling in network-based control systems
    Yin, Xunhe
    Zhao, Shunli
    Wang, Lei
    Wei, Xueye
    Bai, Xia
    Journal of Computational Information Systems, 2014, 10 (18): : 7701 - 7714
  • [33] Optimal design of hedge-algebras-based controller for vibration control of vehicle suspension systems
    Mac, Thi-Thoa
    Nguyen, Tien-Duy
    Bui, Hai-Le
    Tran, Ngoc-An
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2024, 238 (04) : 755 - 776
  • [34] Design of optimal strictly positive real controllers using numerical optimization for the control of flexible robotic systems
    Forbes, James Richard
    Damaren, Christopher John
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2011, 348 (08): : 2191 - 2215
  • [35] Real-Life Measurement of Tri-Axial Walking Ground Reaction Forces Using Optimal Network of Wearable Inertial Measurement Units
    Shahabpoor, Erfan
    Pavic, Aleksandar
    Brownjohn, James M. W.
    Billings, Stephen A.
    Guo, Ling-Zhong
    Bocian, Mateusz
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 26 (06) : 1243 - 1253
  • [36] Online Adaptive Optimal Control of Vehicle Active Suspension Systems Using Single-Network Approximate Dynamic Programming
    Fu, Zhi-Jun
    Li, Bin
    Ning, Xiao-Bin
    Xie, Wei-Dong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2017, 2017
  • [37] Design and control of dynamic compensator-type controller using neural network (application to active suspension model)
    Shiotsuka, Toshinari
    Egami, Masahiro
    Nagamatsu, Akio
    Yoshida, Kazuo
    Nippon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C, 1994, 60 (572): : 1296 - 1302
  • [38] Neural-network-based robust optimal control design for a class of uncertain nonlinear systems via adaptive dynamic programming
    Wang, Ding
    Liu, Derong
    Li, Hongliang
    Ma, Hongwen
    INFORMATION SCIENCES, 2014, 282 : 167 - 179
  • [39] Observer-based strict positive real (SPR) feedback control system design
    Johansson, R
    Robertsson, A
    NONLINEAR CONTROL SYSTEMS 2001, VOLS 1-3, 2002, : 1517 - 1522
  • [40] Observer-based strict positive real (SPR) feedback control system design
    Johansson, R
    Robertson, A
    AUTOMATICA, 2002, 38 (09) : 1557 - 1564