农机化研究2025，Vol.47Issue(6)：163-169,7.DOI:10.13427/j.issn.1003-188X.2025.06.025
基于灰色关联分析的收割机喂入量检测方法研究
Detection Method of Harvester Feeding Amount Based on Grey Correlation Analysis
摘要
Abstract
In order to improve the stability of the detection model of harvester feeding amount,a method of constructing the detection model of harvester feeding amount based on grey correlation weight was proposed.Taking rice as the test ob-ject and Zoomlion PL60 harvester as the test platform,the field experiment of feeding amount detection was carried out.Through grey correlation analysis,it was determined that the correlation between the active torque of the header and the torque of the engine driven shaft and the feeding amount was relatively large.The regression models of the active torque of the header and the torque of the engine driven shaft and the feeding amount were established respectively.The two regres-sion models were weighted and fused according to the grey correlation weight.The fusion detection model was verified by field experiments.The results showed that the average absolute error of the detection model was 0.09 kg/s,and the average relative error was 6.28%.It can realize the accurate detection of the feeding amount.关键词
联合收割机/喂入量检测/灰色关联分析Key words
combine harvester/detection of feed amount/grey correlation analysis分类
农业工程引用本文复制引用
李川,高原源,王爱臣..基于灰色关联分析的收割机喂入量检测方法研究[J].农机化研究,2025,47(6):163-169,7.基金项目
江苏省现代农机装备与技术示范推广项目(NJ2021-64) （NJ2021-64）
江苏省自然科学基金项目(BK20210776) （BK20210776）
