Design of Dynamic Deep Sowing System for Peanut Planter with Double-Loop Feedback Fuzzy PID Control

Moxian Li (), Xueliang Chang (), Yaqing Gu, Ping Wang and Shuqi Shang
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Moxian Li: College of Electrical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China
Xueliang Chang: College of Electrical and Mechanical Engineering, Qingdao Agricultural University, Qingdao 266109, China
Yaqing Gu: College of Electrical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China
Ping Wang: College of Electrical Engineering, Shandong Huayu University of Technology, Dezhou 253034, China
Shuqi Shang: College of Electrical and Mechanical Engineering, Qingdao Agricultural University, Qingdao 266109, China

Agriculture, 2025, vol. 15, issue 8, 1-19

Abstract: To enhance peanut sowing depth consistency, an active depth adjustment planter was designed. This study employs inclination and pressure sensors for ridge surface detection, coupled with a hydraulic cylinder and profiling mechanism to dynamically adjust furrow depth according to ground variations. A mathematical model integrating detection, adjustment, and execution processes was established. The control system adopts an improved DLF-Fuzzy PID (double-loop feedback fuzzy PID) control strategy, with co-simulation in MATLAB/AMESIM for performance comparison. The results demonstrate the improved algorithm’s superiority in sowing depth accuracy. Field experiments evaluated three operational parameters (vehicle speed, pressure, and sowing depth) with the qualification rate as the metric. At 50 mm sowing depth and 3 km/h speed, the system achieved a 94.6% dynamic qualification rate and 2.38% maximum depth variation coefficient. Compared with existing methods, this approach enhances sowing depth control effectiveness by 6.05% and reduces variation by 2.85%.

Keywords: peanut seeder; control system; seeding depth; improved double-loop feedback fuzzy PID (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
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