IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v14y2024i9p1442-d1463298.html
   My bibliography  Save this article

Research on Distributed Dual-Wheel Electric-Drive Fuzzy PI Control for Agricultural Tractors

Author

Listed:
  • Qian Zhang

    (College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China)

  • Caiqi Hu

    (College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China)

  • Rui Li

    (College of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, China)

Abstract

In order to solve the problem that, when the vehicle speed of an agricultural distributed dual-wheel electric-drive tractor changes or the system is disturbed by off-load, the traditional PI control cannot be adjusted in time, resulting in the overshoot of steering control or control delay, meaning it then cannot travel along the target trajectory quickly and accurately, a parameter-adaptive dual-dimensional fuzzy PI speed and steering adjustment controller was proposed, which can adjust the PI parameters in real time based on the deviation between vehicle speed, steering, and reference value, as well as the rate of deviation change. Firstly, based on the operational characteristics of agricultural tractors, a dynamic model of a distributed dual-wheel tractor was established, and a hardware-in-the-loop (HIL) test bench was set up. Fuzzy PI controller algorithms for vehicle speed and steering were designed and developed. In addition, simulations and tests were carried out under no-load and off-load tractor operating conditions with MATLAB/Simulink, respectively. The results indicate that, compared with a traditional PI controller, the fuzzy PI controller exhibits a faster control response and better robustness, reducing overshoot by approximately 60% and the steady-state response time by approximately 25%. When subjected to off-load disturbances, the maximum trajectory offset is controlled within 0.08 m, and the maximum trajectory offset is reduced by 45% compared with a traditional PI controller; therefore, the fuzzy PI control algorithm proposed in this paper makes the tractor’s running trajectory more stable and has stronger anti-interference ability towards off-load disturbances.

Suggested Citation

  • Qian Zhang & Caiqi Hu & Rui Li, 2024. "Research on Distributed Dual-Wheel Electric-Drive Fuzzy PI Control for Agricultural Tractors," Agriculture, MDPI, vol. 14(9), pages 1-20, August.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1442-:d:1463298
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/14/9/1442/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/14/9/1442/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhen Zhu & Lingxin Zeng & Long Chen & Rong Zou & Yingfeng Cai, 2022. "Fuzzy Adaptive Energy Management Strategy for a Hybrid Agricultural Tractor Equipped with HMCVT," Agriculture, MDPI, vol. 12(12), pages 1-21, November.
    2. Gustavo Cevallos & Marco Herrera & Ramon Jaimez & Hanna Aboukheir & Oscar Camacho, 2022. "A Practical Hybrid Control Approach for a Greenhouse Microclimate: A Hardware-in-the-Loop Implementation," Agriculture, MDPI, vol. 12(11), pages 1-28, November.
    3. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rundong Zhou & Lin Wang & Xiaoting Deng & Chao Su & Song Fang & Zhixiong Lu, 2024. "Research on Energy Distribution Strategy of Tandem Hybrid Tractor Based on the Pontryagin Minimum Principle," Agriculture, MDPI, vol. 14(3), pages 1-17, March.
    2. Tiange Sun & Jing Zhou, 2023. "Impact of Livelihood Capital on the Adoption Behaviour of Integrated Agricultural Services among Farmers," Sustainability, MDPI, vol. 15(24), pages 1-16, December.
    3. Francesco Mocera & Aurelio Somà & Salvatore Martelli & Valerio Martini, 2023. "Trends and Future Perspective of Electrification in Agricultural Tractor-Implement Applications," Energies, MDPI, vol. 16(18), pages 1-36, September.
    4. Kai Zhang & Xiaoting Deng & Zhixiong Lu & Tao Wang, 2024. "Research on the Energy Management Strategy of a Hybrid Tractor OS-ECVT Based on a Dynamic Programming Algorithm," Agriculture, MDPI, vol. 14(9), pages 1-20, September.
    5. Junjiang Zhang & Mingyue Shi & Mengnan Liu & Hanxiao Li & Bin Zhao & Xianghai Yan, 2024. "Dual-Source Cooperative Optimized Energy Management Strategy for Fuel Cell Tractor Considering Drive Efficiency and Power Allocation," Agriculture, MDPI, vol. 14(9), pages 1-26, August.
    6. Piras, M. & De Bellis, V. & Malfi, E. & Novella, R. & Lopez-Juarez, M., 2024. "Hydrogen consumption and durability assessment of fuel cell vehicles in realistic driving," Applied Energy, Elsevier, vol. 358(C).
    7. Salvatore Martelli & Valerio Martini & Francesco Mocera & Aurelio Soma’, 2024. "Life Cycle Assessment Comparison of Orchard Tractors Powered by Diesel and Hydrogen Fuel Cell," Energies, MDPI, vol. 17(18), pages 1-29, September.
    8. Liming Sun & Mengnan Liu & Zhipeng Wang & Chuqiao Wang & Fuqiang Luo, 2023. "Research on Load Spectrum Reconstruction Method of Exhaust System Mounting Bracket of a Hybrid Tractor Based on MOPSO-Wavelet Decomposition Technique," Agriculture, MDPI, vol. 13(10), pages 1-18, September.
    9. Simone Pascuzzi & Katarzyna Łyp-Wrońska & Katarzyna Gdowska & Francesco Paciolla, 2024. "Sustainability Evaluation of Hybrid Agriculture-Tractor Powertrains," Sustainability, MDPI, vol. 16(3), pages 1-17, January.
    10. Ugnė Koletė Medževeprytė & Rolandas Makaras & Vaidas Lukoševičius & Sigitas Kilikevičius, 2023. "Application and Efficiency of a Series-Hybrid Drive for Agricultural Use Based on a Modified Version of the World Harmonized Transient Cycle," Energies, MDPI, vol. 16(14), pages 1-16, July.
    11. Yifan Zhao & Liyou Xu & Chenhui Zhao & Haigang Xu & Xianghai Yan, 2024. "Research on Energy Management Strategy for Hybrid Tractors Based on DP-MPC," Energies, MDPI, vol. 17(16), pages 1-22, August.

    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:jagris:v:14:y:2024:i:9:p:1442-:d:1463298. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.