Design and Testing of an Electrically Driven Precision Soybean Seeder Based an OGWO-Fuzzy PID Control Strategy

In response to the challenges of reduced efficiency and compromised seeding accuracy in conventional soybean planters operating at high speeds, this research introduces a novel precision seeding system powered by an electric drive, aiming to enhance both operational reliability and sowing precision. The entire system is powered by the tractor’s 12 V battery and incorporates an OGWO-Fuzzy PID control strategy to regulate the seeding motor speed. To achieve faster and more accurate regulation of the seeding motor speed, this study employs a ternary phase-diagram-based strategy to optimize the weight allocation among the α, β, and δ wolves within the Grey Wolf Optimization (GWO) algorithm. Based on engineering requirements, the optimal weight ratio was determined to be 16:2:1. Simulation results indicate that the optimized OGWO-Fuzzy PID control strategy achieves a settling time of only 0.17 s with no overshoot. In bench tests, the OGWO-Fuzzy PID control strategy significantly outperformed both GWO-Fuzzy PID and Fuzzy PID in terms of seed-metering speed regulation time and accuracy. The average qualified seeding index reached 95.68%, demonstrating excellent seeding performance at medium-to-high operating speeds. This study provides a practical and technically robust approach to ensure seeding quality during medium–high-speed soybean planting

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Publication Details

Journal
Applied Sciences
Published
2025-08-25
DOI
https://doi.org/10.3390/app15179318
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
0.00

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article

Design and Testing of an Electrically Driven Precision Soybean Seeder Based an OGWO-Fuzzy PID Control Strategy

Chao Zhang, Juhong Zhu, X.B. Li, Zhiyong Yang et al.
Applied Sciences
Soil Mechanics and Vehicle Dynamics
article

Design and Testing of an Electrically Driven Precision Soybean Seeder Based an OGWO-Fuzzy PID Control Strategy

Chao Zhang, Juhong Zhu, X.B. Li, Zhiyong Yang, Long Jin, Zhiqi Zhang, Huiyan Kang
article en

Abstract

In response to the challenges of reduced efficiency and compromised seeding accuracy in conventional soybean planters operating at high speeds, this research introduces a novel precision seeding system powered by an electric drive, aiming to enhance both operational reliability and sowing precision. The entire system is powered by the tractor’s 12 V battery and incorporates an OGWO-Fuzzy PID control strategy to regulate the seeding motor speed. To achieve faster and more accurate regulation of the seeding motor speed, this study employs a ternary phase-diagram-based strategy to optimize the weight allocation among the α, β, and δ wolves within the Grey Wolf Optimization (GWO) algorithm. Based on engineering requirements, the optimal weight ratio was determined to be 16:2:1. Simulation results indicate that the optimized OGWO-Fuzzy PID control strategy achieves a settling time of only 0.17 s with no overshoot. In bench tests, the OGWO-Fuzzy PID control strategy significantly outperformed both GWO-Fuzzy PID and Fuzzy PID in terms of seed-metering speed regulation time and accuracy. The average qualified seeding index reached 95.68%, demonstrating excellent seeding performance at medium-to-high operating speeds. This study provides a practical and technically robust approach to ensure seeding quality during medium–high-speed soybean planting

Applied SciencesVol. 15(17)
Wuhan Academy of Agricultural Sciences (CN), Hubei University of Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 77%
Soil Mechanics and Vehicle Dynamics
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Design and Testing of an Electrically Driven Precision Soybean Seeder Based an OGWO-Fuzzy PID Control Strategy — Chao Zhang, Juhong Zhu, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS