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Topic

Technologies and technical equipment for agriculture and food industry

Volume

Volume 76 / No. 2 / 2025

Pages : 353-368

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RESEARCH ON SPEED CONTROL OF AN ELECTRICALLY DRIVEN THRESHING CYLINDER IN A COMBINE HARVESTER BASED ON INERTIA PARAMETER IDENTIFICATION

基于惯量参数辨识的联合收割机电驱动脱粒滚筒转速控制研究

DOI : https://doi.org/10.35633/inmateh-76-30

Authors

(*) Yushuai QIAN

Jiangsu University

Li QUAN

Jiangsu University

Jiapeng DIAO

Jiangsu University

Lei XU

Jiangsu University

Zixuan XIANG

Jiangsu University

Xiaoyong ZHU

Jiangsu University

(*) Corresponding authors:

2112107010@stmail.ujs.edu.cn |

Yushuai QIAN

Abstract

In response to the speed control requirements of the threshing cylinder in combine harvesters, this paper analyzes the working condition characteristics of the threshing cylinder and establishes a dynamic model. A mathematical model for the electrically driven threshing cylinder is established, and an adaptive speed control strategy is proposed based on the identification of moment of inertia. Experimental results indicate that, the control accuracy and robustness of the system are enhanced. During the start-up process, the overshoot in speed and convergence time are reduced by 11.1% and 31.3%, respectively; when fluctuations occur in the feed rate of the threshing cylinder, the maximum speed fluctuation and adjustment time are reduced by 55% and 33.3%, respectively; when the moisture content of crops changes, the shortest convergence time and maximum fluctuation amplitude of the threshing cylinder's speed are reduced by 57.7% and 18.8%, respectively. This research provides theoretical support and practical foundation for the intelligent control of electrically driven combine harvesters, demonstrating considerable application value.

Abstract in Chinese

针对联合收割机中脱粒滚筒的转速控制需求,本文分析了脱粒滚筒的工况特征并建立了动力学模型,构建了电驱动脱粒滚筒的数学模型,提出了一种基于转动惯量辨识的电驱动脱粒滚筒转速自适应控制策略。实验结果表明,系统的控制精度和鲁棒性得到增强。启动过程中的转速超调量和收敛时间分别减少了11.1%和31.3%;作物喂入量发生波动时,最大转速波动和调整时间分别减少了55%和33.3%;当作物的含水率变化时,脱粒滚筒的转速最短收敛时间和最大波动幅度分别减少了57.7%和18.8%。本研究为电驱动联合收割机的智能化控制提供了理论支持和实践基础,具备良好的应用价值。

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