Work

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

Year: 2025
Type: article
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
Authors: Hongbin Kang, Zongwang Zhang, Long Jin, Chao Zhang, Xiaohao Li, Juhong Zhu, Zhiyong Yang
Language: English
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4413619465
FWCI: 1.205
Cites: 22
Cited by: 4
Related to: 10