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Linear Active Disturbance Rejection Control System for the Travel Speed of an Electric Reel Sprinkling Irrigation Machine

Author

Listed:
  • Lingdi Tang

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Wei Wang

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Chenjun Zhang

    (School of Intelligent Manufacturing, Luoyang Institute of Science and Technology, Luoyang 471023, China)

  • Zanya Wang

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Zeyu Ge

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

  • Shouqi Yuan

    (Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Zhenjiang 212013, China)

Abstract

The uniformity of the travel speed of electric reel sprinkling irrigation machines is a key factor affecting irrigation quality. However, conventional PID control is susceptible to sudden disturbances under complex farmland conditions, leading to reduced speed uniformity. To enhance the robustness of the control system, it is necessary to investigate new disturbance rejection control algorithms and their effects. Therefore, a kinematic model of the reel sprinkling irrigation machine and a brushless DC (BLDC) motor model were established, and a linear active disturbance rejection control (LADRC) strategy based on improved particle swarm optimization (IPSO) was proposed. The simulation results show that under variable speed conditions, the system exhibits no overshoot, with an adjustment time of 0.064 s; under variable load conditions, the speed vibration amplitude is less than 0.3%. The field test results indicate that at travel speeds of 10 m/h and 30 m/h, the maximum absolute deviation rate under IPSO-LADRC control is reduced by 27.07% and 13.98%, respectively, compared to PID control. The control strategy based on IPSO-LADRC effectively improves the control accuracy and robustness under complex farmland conditions, providing a reference for enhancing the control performance of other electric agricultural machinery.

Suggested Citation

  • Lingdi Tang & Wei Wang & Chenjun Zhang & Zanya Wang & Zeyu Ge & Shouqi Yuan, 2024. "Linear Active Disturbance Rejection Control System for the Travel Speed of an Electric Reel Sprinkling Irrigation Machine," Agriculture, MDPI, vol. 14(9), pages 1-24, September.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:9:p:1544-:d:1473024
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    References listed on IDEAS

    as
    1. Shun-Liang Ding & Shuai-Feng He & Bi-Qing Tu & Jin-Jin Liu & Yu-Yuan Wang & En-Zhe Song & Chih-Chiang Chen, 2023. "Model-Based Control with Active Disturbance Rejection Algorithm for a Diesel Engine," Complexity, Hindawi, vol. 2023, pages 1-15, January.
    2. Wensheng Li & Fanke Yang & Liqiang Zhong & Hao Wu & Xiangyuan Jiang & Andrei V. Chukalin, 2023. "Attitude Control of UAVs with Search Optimization and Disturbance Rejection Strategies," Mathematics, MDPI, vol. 11(17), pages 1-16, September.
    3. Radu-Emil Precup & Anh-Tu Nguyen & Sašo Blažič, 2024. "A survey on fuzzy control for mechatronics applications," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(4), pages 771-813, March.
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    Cited by:

    1. Hao Yin & Pengyu Jing & Chen Ma & Liewang Cao & Chengsong Li & Lihong Wang, 2024. "An Intermittent Fertilization Control System for Fruit Tree Crown Detection," Agriculture, MDPI, vol. 14(11), pages 1-19, October.

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