您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

A fuzzy decision-making algorithm-based header height measurement system for combine harvester

文献类型： 外文期刊

作者： Wang, Qian 1 ; Zhao, Jun-jie 2 ; Meng, Zhi-jun 2 ; Qin, Wu-chang 2 ; Wang, Feng 2 ; Zhao, Chun-jiang 2 ; Zhu, Qing-zhen 1 ; Wen, Chang-kai 3 ; Yin, Yan-xin 2 ;

作者机构： 1.Jiangsu Univ, Coll Agr Engn, Zhenjiang 212013, Peoples R China

2.Beijing Acad Agr & Forestry Sci, study Ctr Intelligent Equipment, Beijing 100097, Peoples R China

3.State Key Lab Intelligent Agr Power Equipment, Beijing 100097, Peoples R China

4.China Agr Univ, Coll Engn, Beijing 100097, Peoples R China

5.Qinghai Univ, Sch Mech Engn, Xining 810016, Peoples R China

关键词： Combine harvester; Header height; Header height online measurement system; Kalman filter; Fuzzy decision-making

期刊名称：MEASUREMENT （ 影响因子：5.6； 五年影响因子：5.4 ）

ISSN： 0263-2241

年卷期： 2025 年 249 卷

页码：

收录情况： SCI

摘要： Header height is a critical parameter during the operation of the harvester. Accurately and consistently measuring header height is challenging due to adverse factors such as uneven farmland topography, irregular ground surfaces, weeds, and crop stubble. This study proposes an intelligent calculation algorithm based on the fusion of the Kalman filter and fuzzy decision-making (KFF) to achieve accurate, stable, reliable and real-time header height measurement and a header height online measurement system (HMS) for combine harvester is developed. The algorithm first calculates the initial header height according to the trajectory of the header. The Kalman filter algorithm then predicts the header height for the subsequent state. Finally, the accurate header height is calculated after fuzzy decision-making. The algorithm effectively addresses the interference caused by complex working conditions on header height measurement. A band-pass filter is designed and a signal transmitter based on an STM32 embedded microcontroller is developed to counter the interference characteristics of header bumps and vibration on the height detection signal. Furthermore, the header height online measurement system (HMS) software for combine harvesters was developed. This system handles sensor data collection, conducts header height fusion calculations, and facilitates human-machine interaction. This study carries out field tests under varying combine harvester operating speeds and initial static header heights (ISHH). Results showed that the measurement error is mainly distributed in the range of- 0.5 to 0.5 cm. The mean relative error (MRE) of the absolute header height measurement error was 0.9 %, 1.0 %, 1.0 %, and 1.0 % at velocities of 2, 3, 4, and 5 km/h, respectively. The average MRE was 0.975 %. Furthermore, the MRE of the measurement results was 1.6 %, 1.0 %, 0.8 % and 0.6 % for different ISHH of 10, 15, 20 and 25 cm, respectively. The mean MRE was 1 %. ANOVA results showed that different speeds and ISHH do not significantly impact the measurement results of the HMS. The HMS developed in this study exhibited a high degree of precision and stability, providing critical support for the continuous regulation of header height.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台