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Research and Design of Precision Fertilizer Application Control System Based on PSO-BP-PID Algorithm

Author

Listed:
  • Zihao Meng

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Lixin Zhang

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Huan Wang

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Xiao Ma

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • He Li

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

  • Fenglei Zhu

    (Department School of Mechanical and Electrical Engineering, Shihezi University, Shihezi 832003, China)

Abstract

China has had the highest fertilizer use rate in the world for years, but today a large number of farmlands still use traditional manual fertilizer application methods, which rely entirely on personal experience and not only cause the waste of fertilizer and water resources but also make the local ecological environment polluted. This paper researches and designs a BP neural network PID controller based on PSO optimization to address the above problems. The PSO algorithm is used to optimize the initial weights of the BP neural network, and then optimize the control parameters of the PID to achieve accurate control of the liquid fertilizer flow. A precision fertilizer control system based on the STM32 microcontroller was also developed, and the performance of this controller was verified in tests. The results showed that compared with the conventional PID controller and BP neural network-based PID controller, this controller had good control accuracy and robustness, the average maximum overshoot was 6.35%, and the average regulation time was 41.17 s; when the fertilizer application flow rate was 0.6 m 3 /h, the shortest adjustment time is 30.85 s, which achieves the effect of precise fertilizer application.

Suggested Citation

  • Zihao Meng & Lixin Zhang & Huan Wang & Xiao Ma & He Li & Fenglei Zhu, 2022. "Research and Design of Precision Fertilizer Application Control System Based on PSO-BP-PID Algorithm," Agriculture, MDPI, vol. 12(9), pages 1-16, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:9:p:1395-:d:906865
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    Cited by:

    1. Huang Huang & Xinwei Cuan & Zhuo Chen & Lina Zhang & Hao Chen, 2023. "A Multiregional Agricultural Machinery Scheduling Method Based on Hybrid Particle Swarm Optimization Algorithm," Agriculture, MDPI, vol. 13(5), pages 1-18, May.

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