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Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control

Author

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  • Liwei Zhu

    (School of Agricultural Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China)

  • Weiming Sun

    (School of Agricultural Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China)

  • Qian Zhang

    (School of Agricultural Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China)

  • En Lu

    (School of Agricultural Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China)

  • Jialin Xue

    (School of Agricultural Engineering, Jiangsu University, No. 301 Xuefu Road, Zhenjiang 212013, China)

  • Guohui Sha

    (Weichai Lovol Intelligent Agricultural Technology Co., Ltd., Weifang 261200, China)

Abstract

In addressing the challenges of low path tracking accuracy and poor robustness during tractor autonomous operation, this paper proposes a path tracking control method for tractors that integrates prescribed performance with sliding mode control (SMC). A key feature of this control method is its inherent immunity to system parameter perturbations and external disturbances, while ensuring path tracking errors are constrained within a predefined range. First, the tractor is simplified into a two-wheeled vehicle model, and a path tracking error model is established based on the reference operation trajectory. By defining a prescribed performance function, the constrained tracking control problem is transformed into an unconstrained stability control problem, guaranteeing the boundedness of tracking errors. Then, by incorporating SMC theory, a prescribed performance sliding mode path tracking controller is designed to achieve robust path tracking and error constraint for the tractor. Finally, both simulation and field experiments are conducted to validate the method. The results demonstrate that compared with the traditional SMC method, the proposed method effectively mitigates the impact of complex farmland conditions, reducing path tracking errors while enforcing strict error constraints. Field experiment data shows the proposed method achieves an average absolute error of 0.02435 m and a standard deviation of 0.02795 m, confirming its effectiveness and superiority. This research lays a foundation for the intelligent development of agricultural machinery.

Suggested Citation

  • Liwei Zhu & Weiming Sun & Qian Zhang & En Lu & Jialin Xue & Guohui Sha, 2025. "Tractor Path Tracking Control Method Based on Prescribed Performance and Sliding Mode Control," Agriculture, MDPI, vol. 15(15), pages 1-16, August.
  • Handle: RePEc:gam:jagris:v:15:y:2025:i:15:p:1663-:d:1715364
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    References listed on IDEAS

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    1. Jinyang Li & Zhijian Shang & Runfeng Li & Bingbo Cui, 2022. "Adaptive Sliding Mode Path Tracking Control of Unmanned Rice Transplanter," Agriculture, MDPI, vol. 12(8), pages 1-14, August.
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    3. Jiawei Zhou & Junhao Wen & Liwen Yao & Zidong Yang & Lijun Xu & Lijian Yao, 2025. "Agricultural Machinery Path Tracking with Varying Curvatures Based on an Improved Pure-Pursuit Method," Agriculture, MDPI, vol. 15(3), pages 1-18, January.
    4. Bingbo Cui & Xinyu Cui & Xinhua Wei & Yongyun Zhu & Zhen Ma & Yan Zhao & Yufei Liu, 2024. "Design and Testing of a Tractor Automatic Navigation System Based on Dynamic Path Search and a Fuzzy Stanley Model," Agriculture, MDPI, vol. 14(12), pages 1-17, November.
    5. Ruochen Wang & Kaiqiang Zhang & Renkai Ding & Yu Jiang & Yiyong Jiang, 2025. "A Novel Hydraulic Interconnection Design and Sliding Mode Synchronization Control of Leveling System for Crawler Work Machine," Agriculture, MDPI, vol. 15(2), pages 1-19, January.
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