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January 1, 2025International Journal of Electrical Electronics and ComputersOpen Access

Based on Fuzzy PID Simulation Analysis of the Sugarcane Seeder Planting Control System

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Authors

MHMinghui HuangZZZhirong ZouJLJ.K.L. Lai

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Overview

Simulation analysis demonstrates enhanced control and distribution in sugarcane seeding, suggesting adaptability in agricultural machinery.

Key Points

  • Improved fuzzy PID control enhances seed distribution efficiency in sugarcane planting, addressing traditional shortcomings.
  • Simulation results reveal the fuzzy PID control reduces overshoot and adjustment time compared to standard PID methods.
  • Multi-body dynamics and discrete element simulation aided in constructing a dynamic mathematical model for seed distribution.
  • Findings highlight the potential for intelligent control algorithms to revolutionize agricultural machinery and precision agriculture.

Cite This Study

Huang et al. (2025) studied this question.

synapsesocial.com/papers/68af63e3ad7bf08b1eae4475https://doi.org/10.22161/eec.105.2
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