Zhihao Zhu , Xiaoyu Chai , Lizhang Xu , Li Quan , Chaochun Yuan , En Lu , Shuofeng Weng
{"title":"Design and performance analysis of an electric threshing drum and its speed control system for combine harvester","authors":"Zhihao Zhu , Xiaoyu Chai , Lizhang Xu , Li Quan , Chaochun Yuan , En Lu , Shuofeng Weng","doi":"10.1016/j.biosystemseng.2025.104313","DOIUrl":null,"url":null,"abstract":"<div><div>In response to the challenges encountered by traditional combine harvester threshing drums, such as the difficulty in maintaining speed stability amidst load fluctuations leading to increased entrainment loss, and the difficulty in adjusting speed across a wide range with varying crop types and properties, this study introduces an electric threshing drum (ETD) for combine harvesters. A motor control strategy leveraging a fractional-order non-singular sliding mode observer (FONSSMO) and model predictive control (MPC) is developed to achieve precise speed control of the ETD under load fluctuations and disturbances, with its parameters optimised using a genetic algorithm. Simulation results demonstrate that the ETD can achieve swift and accurate speed regulation. In the presence of torque interference and load transients, the proposed control method reduces the RMS value of the threshing drum's speed error by 73.96 % and the maximum speed error by 75.10 %, significantly enhancing the system's robustness. The bench test validated the efficacy and feasibility of the control strategy. Furthermore, field test results from rice harvesting showed that the combine harvester equipped with the ETD can mitigate entrainment loss rate fluctuations due to changes in vehicle speed and load compared to conventional models. At a vehicle speed of 2 m s<sup>−1</sup>, it can reduce entrainment loss by ∼19–20 %, effectively enhancing harvesting efficiency.</div></div>","PeriodicalId":9173,"journal":{"name":"Biosystems Engineering","volume":"260 ","pages":"Article 104313"},"PeriodicalIF":5.3000,"publicationDate":"2025-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosystems Engineering","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1537511025002491","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURAL ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
In response to the challenges encountered by traditional combine harvester threshing drums, such as the difficulty in maintaining speed stability amidst load fluctuations leading to increased entrainment loss, and the difficulty in adjusting speed across a wide range with varying crop types and properties, this study introduces an electric threshing drum (ETD) for combine harvesters. A motor control strategy leveraging a fractional-order non-singular sliding mode observer (FONSSMO) and model predictive control (MPC) is developed to achieve precise speed control of the ETD under load fluctuations and disturbances, with its parameters optimised using a genetic algorithm. Simulation results demonstrate that the ETD can achieve swift and accurate speed regulation. In the presence of torque interference and load transients, the proposed control method reduces the RMS value of the threshing drum's speed error by 73.96 % and the maximum speed error by 75.10 %, significantly enhancing the system's robustness. The bench test validated the efficacy and feasibility of the control strategy. Furthermore, field test results from rice harvesting showed that the combine harvester equipped with the ETD can mitigate entrainment loss rate fluctuations due to changes in vehicle speed and load compared to conventional models. At a vehicle speed of 2 m s−1, it can reduce entrainment loss by ∼19–20 %, effectively enhancing harvesting efficiency.
针对传统联合收割机脱粒鼓所面临的挑战,如在负荷波动中难以保持速度稳定,导致携带损失增加,以及难以在不同作物类型和特性的大范围内调节速度,本研究介绍了一种用于联合收割机的电动脱粒鼓(ETD)。利用分数阶非奇异滑模观测器(FONSSMO)和模型预测控制(MPC)的电机控制策略,利用遗传算法对参数进行优化,实现了负载波动和干扰下ETD的精确速度控制。仿真结果表明,ETD可以实现快速、准确的调速。在存在转矩干扰和负载瞬变的情况下,该控制方法使脱粒滚筒转速误差的均方根值降低了73.96%,最大转速误差降低了75.10%,显著增强了系统的鲁棒性。台架试验验证了控制策略的有效性和可行性。此外,水稻收获的田间试验结果表明,与传统模式相比,配备ETD的联合收割机可以减轻由于车辆速度和负载变化而导致的携载损失率波动。在车速为2 m s−1时,它可以减少约19 - 20%的携带损失,有效提高收获效率。
期刊介绍:
Biosystems Engineering publishes research in engineering and the physical sciences that represent advances in understanding or modelling of the performance of biological systems for sustainable developments in land use and the environment, agriculture and amenity, bioproduction processes and the food chain. The subject matter of the journal reflects the wide range and interdisciplinary nature of research in engineering for biological systems.