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
  • [21] A optimal design of neural network control based on fuzzy logic
    Zhang, YX
    Jiang, FZ
    PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5, 2000, : 957 - 961
  • [22] Optimal Design of Inertial Amplifier Base Isolators for Dynamic Response Control of Multi-Storey Buildings
    Chowdhury, Sudip
    Banerjee, Arnab
    Adhikari, Sondipon
    INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS, 2023, 23 (05)
  • [23] Optimal design of robust control for positive fuzzy dynamic systems with one-sided control constraint
    Zhao, Ruiying
    Chen, Ye-Hwa
    Jiao, Shengjie
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 32 (01) : 723 - 735
  • [24] Optimal Design and Dynamic Performance Analysis Based on the Asymmetric-Damping Vehicle ISD Suspension
    Shen, Yujie
    Jia, Mengqi
    Yang, Kai
    Chen, Zhong
    Chen, Long
    SHOCK AND VIBRATION, 2021, 2021
  • [25] Optimal design of a damped dynamic vibration absorber for vibration control of structure excited by ground motion
    Wong, W. O.
    Cheung, Y. L.
    ENGINEERING STRUCTURES, 2008, 30 (01) : 282 - 286
  • [26] Research on anti-rollover intelligent suspension control based on dynamic Bayesian network
    He, Qingshuo
    Li, Yang
    Yi, Sha
    Liu, Zhuopei
    Zhang, Xing
    Zhou, Chenyu
    2024 IEEE 19TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, ICIEA 2024, 2024,
  • [27] Approximations Based Optimal Control Design for a Class of Switched Dynamic Systems
    Azhmyakov, V.
    Serrezuela, R. R.
    Guzman Trujillo, L. A.
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 90 - 95
  • [28] Optimal Design of Command and Control Organizational Communication Network based on Task
    Wang, Dong
    Yang, Shan
    Feng, Jiachen
    Zou, Qiang
    Zhang, Yun
    2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017, : 2587 - 2591
  • [29] Staring Imaging Real-Time Optimal Control Based on Neural Network
    Li, Peiyun
    Dong, Yunfeng
    Li, Hongjue
    INTERNATIONAL JOURNAL OF AEROSPACE ENGINEERING, 2020, 2020
  • [30] Semistability-Based Robust and Optimal Control Design for Network Systems
    Hui, Qing
    Liu, Zhenyi
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 7049 - 7054