Control method of wheel slip rate based on fuzzy algorithm

被引:4
|
作者
Zhang, Deping [1 ]
Sun, Liangbo [1 ]
Yang, Xuejin [1 ]
Wang, Beihai [1 ]
Wang, Luan [1 ]
机构
[1] Wuhan Polytech Univ, Sch Mech Engn, Wuhan 430048, Hubei, Peoples R China
关键词
ESC system; least square optimization algorithm; controller; optimal slip rate; OPTIMIZATION;
D O I
10.3233/JIFS-179856
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The existing control method of wheel slip rate has a long braking time, the gap between the slip rate and the optimal slip rate is obvious, and there is a defect of poor control effect. In order to solve the above problems, the fuzzy algorithm is introduced to design the wheel slip control method. According to the characteristics of ESC system, the control model of wheel slip rate was built. On this basis, the least square optimization algorithm was used to estimate the best slip rate. Based on the estimated optimal slip rate, the multi -agent system was used to design the slip rate controller, and thus to get the threshold value of slip rate controller. Moreover, the fuzzy algorithm was used to optimize the parameters of slip rate controller, so as to keep the optimal slip ratio. Finally, the control for wheel slip ratio based on fuzzy algorithm was achieved. The simulation results show that the slip ratio of this method is kept between 0.18-0.45, which is less different from the optimal slip ratio. Compared with the existing control method of wheel slip ratio, the proposed control method of wheel slip ratio greatly improves the control effect, which fully shows that the proposed control method of wheel slip ratio has better performance.
引用
收藏
页码:7865 / 7874
页数:10
相关论文
共 50 条
  • [31] Maximum Braking Force Control Using Wheel Slip Controller and Optimal Target Slip Assignment Algorithm in Vehicles
    Hong, Daegun
    Huh, Kunsoo
    Hwang, Inyong
    Sunwoo, Myoungho
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2006, 30 (03) : 295 - 301
  • [32] Wheel-slip control method for seeking maximum value of tangential force between wheel and rail
    Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
    不详
    IEEJ Trans. Ind Appl., 1 (101-108):
  • [33] Slip Rate Recognition Based on Firefly Optimization Algorithm
    Wu, Huawei
    Zhang, Yuanjin
    2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC), 2017, : 11 - 14
  • [34] Adaptive feedback algorithm for internet video streaming based on fuzzy rate control
    Antoniou, Pavlos
    Pitsillides, Andreas
    Vassiliou, Vasos
    2007 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS, VOLS 1-3, 2007, : 953 - 960
  • [35] Nonlinear robust wheel slip rate tracking control for autonomous vehicle with actuator dynamics
    Zhang, Jiaxu
    Zhou, Shiying
    Zhao, Jian
    ADVANCES IN MECHANICAL ENGINEERING, 2020, 12 (06)
  • [36] Robust adaptive control for continuous wheel slip rate tracking of vehicle with state observer
    Zhang, Jiaxu
    Shi, Zhengtang
    Yang, Xiong
    Zhao, Jian
    MEASUREMENT & CONTROL, 2020, 53 (7-8): : 1331 - 1341
  • [37] Research on Drilling Control Method of Ammunition Shell Based on Fuzzy Algorithm
    Liu, Ronghua
    Pan, Feng
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 2445 - 2450
  • [38] A blind image restoration method based on the genetic algorithm and the fuzzy control
    Deng, Li
    Lu, Ruihua
    2008 INTERNATIONAL CONFERENCE ON AUDIO, LANGUAGE AND IMAGE PROCESSING, VOLS 1 AND 2, PROCEEDINGS, 2008, : 330 - 334
  • [39] Research on Thread Tightening Torque Control Method Based on Fuzzy Algorithm
    Liu, Ronghua
    Pan, Feng
    Diao, Qi
    PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE, 2020, : 2216 - 2219
  • [40] Heating speed control method based on adaptive fuzzy PID algorithm
    Jin, Peng
    Zheng, Minxin
    Qi, Bojin
    Feng, Dong
    PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018), 2018, : 471 - 475