Vehicle Stability Analysis under Extreme Operating Conditions Based on LQR Control

被引:14
|
作者
Wu, Liping [1 ]
Zhou, Ran [1 ]
Bao, Junshan [2 ]
Yang, Guang [1 ,3 ]
Sun, Feng [1 ]
Xu, Fangchao [1 ]
Jin, Junjie [1 ]
Zhang, Qi [1 ]
Jiang, Weikang [4 ]
Zhang, Xiaoyou [1 ,4 ]
机构
[1] Shenyang Univ Technol, Sch Mech Engn, Shenyang 110870, Peoples R China
[2] SIASUN Robot & Automat Co Ltd, Shenyang 110169, Peoples R China
[3] Shenyang Aerosp Univ, Sch Mech Engn, Shenyang 110136, Peoples R China
[4] Nippon Inst Technol, Dept Mech Engn, Saitama 3458501, Japan
基金
中国国家自然科学基金;
关键词
LQR controller; extreme operating conditions; vehicle stability; CarSim; ACTIVE SUSPENSION SYSTEM; MOTOR;
D O I
10.3390/s22249791
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Under extreme working conditions such as high-speed driving on roads with a large road surface unevenness coefficient, turning on a road with a low road surface adhesion coefficient, and emergency acceleration and braking, a vehicle's stability deteriorates sharply and reduces ride comfort. There is extensive existing research on vehicle active suspension control, trajectory tracking, and control methods. However, most of these studies focus on conventional operating conditions, while vehicle stability analysis under extreme operating conditions is much less studied. In order to improve the stability of the whole vehicle under extreme operating conditions, this paper investigates the stability of a vehicle under extreme operating conditions based on linear quadratic regulator (LQR) control. First, a seven degrees of freedom (7-DOF) dynamics model of the whole vehicle is established based on the use of electromagnetic active suspension, and then an LQR controller of the electromagnetic active suspension is designed. A joint simulation platform incorporating MATLAB and CarSim was built, and the CarSim model is verified by real vehicle tests. Finally, the stability of the vehicle under four different ultimate operating conditions was analyzed. The simulation results show that the root mean square (RMS) values of body droop acceleration and pitch angle acceleration are improved by 57.48% and 28.81%, respectively, under high-speed driving conditions on Class C roads. Under the double-shift condition with a low adhesion coefficient, the RMS values of body droop acceleration, pitch acceleration, and roll angle acceleration are improved by 58.25%, 55.41%, and 31.39%, respectively. These results indicate that electromagnetic active suspension can significantly improve vehicle stability and reduce driving risk under extreme working conditions when combined with an LQR controller.
引用
收藏
页数:26
相关论文
共 50 条
  • [31] Radiation stability of graphene under extreme conditions
    Kumar, Sunil
    Tripathi, Ambuj
    Khan, Saif A.
    Pannu, Compesh
    Avasthi, Devesh K.
    APPLIED PHYSICS LETTERS, 2014, 105 (13)
  • [32] The Structural Dynamical Buckling Analysis for a Novel Vacuum Autoclave under the Extreme Operating Conditions
    Liu Hongpu
    Li Xiaojing
    Wang Di
    Tang Jiansheng
    Yang Xueling
    Zhu Chengjun
    SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2, 2011, 143-144 : 888 - 893
  • [33] Estimation and Analysis of Vehicle Stability Region under Complex Road Conditions
    Zhang, Xiyue
    Wang, Ping
    Li, Zihan
    Wang, Fei
    Chen, Hong
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 3036 - 3041
  • [34] Investigation of vehicle stability under crosswind conditions based on coupling methods
    Huang, Taiming
    Li, Shuya
    Wan, Zhongmin
    Gu, Zhengqi
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2019, 233 (13) : 3305 - 3317
  • [35] Study on Stability Control of Distributed Drive Electric Vehicle under Critical Conditions
    Teng Guowen
    Xiong Lu
    Feng Yuan
    Zhang Wuxue
    2014 33RD CHINESE CONTROL CONFERENCE (CCC), 2014, : 233 - 238
  • [36] Event-Triggered Mechanism Based Control Method of SMES to Improve Microgrids Stability Under Extreme Conditions
    Peng, Heping
    Luan, Le
    Xu, Zhong
    Mo, Wenxiong
    Wang, Yong
    IEEE TRANSACTIONS ON APPLIED SUPERCONDUCTIVITY, 2021, 31 (08)
  • [37] Optimal Scheduling of Extreme Operating Conditions in Islanded Microgrid Based on Model Predictive Control
    Su, Shi
    Ma, Pengfei
    Xie, Qingyang
    Liu, Jie
    Zhuan, Xiangtao
    Shang, Lei
    ELECTRONICS, 2025, 14 (01):
  • [38] Characterizing HVDC Transmission Flexibility under Extreme Operating Conditions
    Nguyen, Quan
    Etingov, Pavel
    Elizondo, Marcelo A.
    2023 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE, ISGT, 2023,
  • [39] Analysis of the loss of vehicle motion stability in the conditions of steering control disturbance
    Dudziak, Marian
    Lewandowski, Andrzej
    Sledzinski, Michal
    XXIII POLISH-SLOVAK SCIENTIFIC CONFERENCE ON MACHINE MODELLING AND SIMULATIONS (MMS 2018), 2019, 254
  • [40] Analysis of the Polymeric Material Stability under Extreme Conditions by Using Colorimetry Method
    V. B. Ivanov
    E. V. Solina
    A. V. Samoryadov
    Russian Journal of General Chemistry, 2021, 91 : 2708 - 2716