农机化研究2024，Vol.46Issue(7)：262-268,7.
拖拉机发动机耕作过程扭矩的预测模型研究
Prediction Model Research on Tractor Engine Tillage Process Torque
摘要
Abstract
Tractor axle torque is usually used as one of the evaluation indexes for making various decisions in tractor transmission fatigue life analysis,optimal design and accelerated life testing.As the existing tractor axle torque measure-ment method is based on the torque sensor detection,the investment cost is high,which is not suitable for large area ap-plication.In response to the above problems,this study establishes the prediction model of tractor axle torque during till-age,selects engine torque,engine speed,tillage depth,slip rate and driving speed as the influencing factors,develops a load measurement system to conduct field tests on tractor tillage operations,and proposes eight axle torque prediction regression models using the measured calibration data sets,and the adjusted coefficients of determination R2 of the regres-sion models are 0.259-0.925.Among them,the prediction model E showed an adjusted R2 of 0.925,and the MAPE of tractor axle torque prediction models under different models were less than 2.1%.The results of the study showed that all the prediction models proposed in this study were applicable to the actual tractor operation process of axle torque predic-tion.关键词
农用拖拉机/轴扭矩/预测模型/多重回归/耕作作业Key words
agricultural tractor/axle torque/prediction model/multiple regression/tillage operation分类
农业科技引用本文复制引用
张捷..拖拉机发动机耕作过程扭矩的预测模型研究[J].农机化研究,2024,46(7):262-268,7.基金项目
湖南省教育厅科学研究项目(18C1596) （18C1596）
长沙市哲学社会科学研究项目(2021csskkt46) （2021csskkt46）
