Robust Variable Structure Anti-Slip Control Method of a Distributed Drive Electric Vehicle

被引:17
|
作者
Leng, Bo [1 ,2 ]
Xiong, Lu [2 ]
Yu, Zhuoping [2 ]
Sun, Kai [2 ]
Liu, Ming [2 ]
机构
[1] Tongji Univ, Postdoctoral Stn Mech Engn, Shanghai 201804, Peoples R China
[2] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷 / 08期
关键词
Wheels; Estimation; Tires; Vehicle dynamics; Electric vehicles; Robustness; Drives; Distributed drive electric vehicle; Lyapunov stability; sliding mode control; slip rate control; slip rate estimation; vehicle speed estimation; CONTROL STRATEGY; PERFORMANCE;
D O I
10.1109/ACCESS.2020.3021694
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Slip rate control is important in improving vehicle stability and driving efficiency. In this paper, a robust slip rate control system is designed for distributed drive electric vehicles that consists of two slip rate estimators for multi-driving conditions, a vehicle speed estimator, and an anti-windup robust variable structure slip rate tracking controller. Because there is no driven wheel in a four-in-wheel-motor distributed drive electric vehicle, the estimators for small and large slip rates are designed based on dynamic and kinematic methods, respectively, which can switch according to the slip conditions. The convergence of the estimation error is discussed with the Lyapunov stability law and is less than 2% under the condition of acceleration on a low-friction road. The slip rate tracking controller is designed based on the sliding mode control law and the proportional-integral (PI) control method to handle model nonlinearity, modelling and estimation errors, and disturbances and to control the input chattering and saturation. The asymptotic stability of the tracking error is proven by Lyapunov theory. A joint control variable composed of the wheel angular acceleration and slip rate is designed to improve the robustness of the controller against the slip rate estimation error. Simulations and experiments under various conditions are performed to verify the proposed anti-slip control method. The results show that compared with a distributed drive vehicle without a slip rate controller, the controlled vehicle can prevent serious wheel skid on low-adhesion roads and improve the driving performance.
引用
收藏
页码:162196 / 162208
页数:13
相关论文
共 50 条
  • [41] Robust model predictive anti-slip controller and speed profile tracking of an electric train based on LMI approach
    Molavi, Ali
    Rashidi Fathabadi, Fatemeh
    INTERNATIONAL JOURNAL OF DYNAMICS AND CONTROL, 2022, 10 (06) : 1943 - 1954
  • [42] An anti-slip control strategy with modifying target and torque reallocation for heavy in-wheel motor vehicle
    Wang, Yuan
    Yuan, Liangxin
    Chen, Hao
    Du, Peng
    Lian, Xiaomin
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2022, 236 (12) : 2625 - 2644
  • [43] Integrated tire slip energy dissipation and lateral stability control of distributed drive electric vehicle with mechanical elastic wheel
    Lin, Fen
    Qian, Chengliang
    Cai, Yizhang
    Zhao, Youqun
    Wang, Shaobo
    Zang, Liguo
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (10): : 4776 - 4803
  • [44] Validation of an anti-slip control method based on the angular acceleration of a wheel on a roller rig
    Zirek, Abdulkadir
    Voltr, Petr
    Lata, Michael
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2020, 234 (09) : 1029 - 1040
  • [45] Anti-Slip Wheel Controller Drive for EV using Speed and Torque Observers
    Foito, Daniel
    Guerreiro, Manuel
    Cordeiro, Armando
    ICEM: 2008 INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES, VOLS 1- 4, 2009, : 1860 - +
  • [46] Steering Control of Electric Drive Tracked Vehicle Considering Tracks' Skid and Slip
    Gai J.
    Liu C.
    Ma C.
    Shen H.
    Binggong Xuebao/Acta Armamentarii, 2021, 42 (10): : 2092 - 2101
  • [47] Slip-Control Strategy of Dual Independent Electric Drive Tracked Vehicle
    Shuyang Zhang
    Yunan Zhang
    Keyan Ning
    Nanming Yan
    Qingfeng Fang
    Journal of Beijing Institute of Technology, 2019, 28 (04) : 715 - 724
  • [48] Research on Path Tracking for an Orchard Mowing Robot Based on Cascaded Model Predictive Control and Anti-Slip Drive Control
    Li, Jun
    Wang, Sifan
    Zhang, Wenyu
    Li, Haomin
    Zeng, Ye
    Wang, Tao
    Fei, Ke
    Qiu, Xinrui
    Jiang, Runpeng
    Mai, Chaodong
    Cao, Yachao
    AGRONOMY-BASEL, 2023, 13 (05):
  • [50] Wheel Slip Control for the Electric Vehicle With In-Wheel Motors: Variable Structure and Sliding Mode Methods
    Savitski, Dzmitry
    Ivanov, Valentin
    Augsburg, Klaus
    Emmei, Tomoki
    Fuse, Hiroyuki
    Fujimoto, Hiroshi
    Fridman, Leonid M.
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (10) : 8535 - 8544