Work

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

Year: 2025

Type: article

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%.

Source: Agriculture

DOI: 10.3390/agriculture15080808

Authors: Moxian Li, Xueliang Chang, Yaqing Gu, Ping Wang, Shuqi Shang

Institutions: Shandong Huayu University of Technology, Qingdao Agricultural University

Language: English

Topic: Agricultural Engineering and Mechanization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137