IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v10y2017i11p1737-d116954.html
   My bibliography  Save this article

A Human-Machine-Cooperative-Driving Controller Based on AFS and DYC for Vehicle Dynamic Stability

Author

Listed:
  • Jian Wu

    (School of Mechanical and Automotive Engineering, Liaocheng University, Liaocheng 252000, China)

  • Shuo Cheng

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Binhao Liu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

  • Congzhi Liu

    (State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China)

Abstract

It is a difficult and important project to coordinate active front steering (AFS) and direct yaw moment control (DYC), which has great potential to improve vehicle dynamic stability. Moreover, the balance between driver’s operation and advanced technologies’ intervention is a critical problem. This paper proposes a human-machine-cooperative-driving controller (HMCDC) with a hierarchical structure for vehicle dynamic stability and it consists of a supervisor, an upper coordination layer, and two lower layers (AFS and DYC). The range of AFS additional angle is constrained, with consideration of the influence of AFS on drivers’ feeling. First, in the supervisor, a nonlinear vehicle model was utilized to predict vehicle states, and the reference yaw rate, and side slip angle values were calculated. Then, the upper coordination layer decides the control object and control mode. At last, DYC and AFS calculate brake pressures and the range of active steering angle, respectively. The proposed HMCDC is evaluated by co-simulation of CarSim and MATLAB. Results show that the proposed controller could improve vehicle dynamic stability effectively for the premise of ensuring the driver’s intention.

Suggested Citation

  • Jian Wu & Shuo Cheng & Binhao Liu & Congzhi Liu, 2017. "A Human-Machine-Cooperative-Driving Controller Based on AFS and DYC for Vehicle Dynamic Stability," Energies, MDPI, vol. 10(11), pages 1-18, October.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1737-:d:116954
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/10/11/1737/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/10/11/1737/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jiwei Feng & Chunjiang Bao & Jian Wu & Shuo Cheng & Guangfei Xu & Shifu Liu, 2018. "Research on Methods of Active Steering Control Based on Receding Horizon Control," Energies, MDPI, vol. 11(9), pages 1-15, August.
    2. Yuliang Nie & Yahui Liu & Shuo Cheng & Mingming Mei & Lingyun Xiao, 2017. "Unified Brake Service by a Hierarchical Controller for Active Deceleration Control in an Electric and Automated Vehicle," Energies, MDPI, vol. 10(12), pages 1-13, December.
    3. Rui Xiong & Suleiman M. Sharkh & Xi Zhang, 2018. "Research Progress on Electric and Intelligent Vehicles," Energies, MDPI, vol. 11(7), pages 1-5, July.
    4. Lin Zhao & Shaobo Lu & Bohan Zhang, 2019. "Game-Based Hierarchical Cooperative Control for Electric Vehicle Lateral Stability via Active Four-Wheel Steering and Direct Yaw-Moment Control," Energies, MDPI, vol. 12(17), pages 1-21, August.
    5. Ze Zhao & Lei Zhang & Jianyang Wu & Liang Gu & Shaohua Li, 2023. "Vertical-Longitudinal Coupling Effect Investigation and System Optimization for a Suspension-In-Wheel-Motor System in Electric Vehicle Applications," Sustainability, MDPI, vol. 15(5), pages 1-24, February.
    6. Pengwei Wang & Song Gao & Liang Li & Binbin Sun & Shuo Cheng, 2019. "Obstacle Avoidance Path Planning Design for Autonomous Driving Vehicles Based on an Improved Artificial Potential Field Algorithm," Energies, MDPI, vol. 12(12), pages 1-14, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1737-:d:116954. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.