Authors

Abstract

This study proposes a real-time method for detecting combine-harvester feed quantity based on multi-source information fusion and error correction, with the aim of addressing control delays caused by information lag. Field tests were conducted to obtain key parameters, including feeding-auger torque and threshing-drum torque, determine their relational weights, and establish a prediction model. The model achieved a maximum relative error of 9.64% and a mean relative error of 4.55%, meeting the requirements of practical field operation.

Abstract in Chinese

本研究旨在提出一种基于多信息融合与误差修正的联合收割机喂入量实时检测方法，以解决信息滞后导致的控制延迟问题。通过田间试验获取喂入搅龙转矩和脱粒滚筒转矩等关键参数，确定其关联权重，并建立预测模型。模型检测最大相对误差9.64%，平均相对误差4.55%，可满足实际作业需求。