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基于自适应耕深调节的后悬挂调平系统方法研究

李慧捷 袁浩宇 解臣硕 肖茂华 黄伟星 曹瑜轩 唐存干

中国水稻科学2025,Vol.39Issue(4):440-450,11.
中国水稻科学2025,Vol.39Issue(4):440-450,11.DOI:10.16819/j.1001-7216.2025.250317

基于自适应耕深调节的后悬挂调平系统方法研究

Design and Testing of an Adaptive Rear-hitch Leveling Control System for Tillage Depth Using Fuzzy PID Algorithm

李慧捷 1袁浩宇 1解臣硕 1肖茂华 1黄伟星 1曹瑜轩 1唐存干2

作者信息

  • 1. 南京农业大学 工学院,南京 210031
  • 2. 江苏金秆农业装备有限公司,江苏 盐城 222599
  • 折叠

摘要

Abstract

[Objective]In response to the current challenges in agricultural production,where traditional tillage implements are susceptible to variations in terrain and workload,leading to limited terrain adaptability and in accurate leveling control.[Method]This work proposes an intelligent adaptive leveling control method for tillage depth based on a fuzzy PID algorithm.A four-bar electronically controlled hydraulic rear-hitch leveling device is designed to achieve adaptive tillage depth regulation,and ensure depth uniformity during rotary tiller operations.The four-bar hydraulic rear-hitch leveling device is modeled using 3D modeling software,and simulation analysis is conducted to verify its safe and stable operation under apecified load conditions.Field operation tests are carried out to validate the system's performance.[Result]The results show that when the tractor operates at low,medium,and high speeds in the field,the hydraulic rear-hitch leveling device using the fuzzy PID algorithm achieves average leveling response times of 2.2 s and 5.3 s on slopes of 10° and 20°,respectively,with leveling errors less than 0.5° and no overshoot.[Conclusion]The system effectively ensures the qualified rate and uniformity of tillage depth,enabling real-time adaptive control of tillage depth during rotary tiller operations.

关键词

耕深调节/旋耕机/调平装置/模糊PID算法/液压系统

Key words

tillage depth adjustment/rotary tiller/leveling device/fuzzy PID algorithm/hydraulic system

引用本文复制引用

李慧捷,袁浩宇,解臣硕,肖茂华,黄伟星,曹瑜轩,唐存干..基于自适应耕深调节的后悬挂调平系统方法研究[J].中国水稻科学,2025,39(4):440-450,11.

基金项目

国家自然科学基金面上项目(52375251) (52375251)

江苏省现代农机装备与技术示范推广项目(NJ2023-02) (NJ2023-02)

江苏省大学生创新训练计划资助项目(202410307276Y). (202410307276Y)

中国水稻科学

OA北大核心

1001-7216

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