摘要
为了探明履带式联合收获机在水田土壤作业时滑移率的影响因素,利用RecurDyn软件建立履带式联合收获机-水田土壤耦合仿真模型,并以联合收获机的质量、行驶速度、转向角速度和水田土壤的含水率、正坡度和斜坡度为试验因素进行耦合仿真。通过六因素二水平PB(Plackett-Burman)试验,筛选出对滑移率影响显著的因素为土壤含水率、正坡度和转向角速度。然后,对筛选出的三个因素进行三因素三水平BB(Box-Behnken)试验,结果表明:土壤含水率、正坡度、转向角速度对滑移率的影响十分显著,按影响显著程度排序为转向角速度>土壤含水率>正坡度;随着正坡度和转向角速度增长,滑移率明显上升,随着土壤含水率增长,滑移率缓慢下降;土壤含水率与正坡度和转向角速度具有一定的交互作用,正坡度和转向角速度基本没有交互作用。本研究对提升水田土壤中履带式联合收获机自主作业的路径跟踪精度和稳定性具有重要的参考价值和科学意义。
In order to explore the factors influencing the slip rate between tracked combine harvester and paddy soil,a coupled simulation model of tracked combine harvester and paddy soil is established by the RecurDyn software.Selecting the mass,driving speed,steering angular speed of the tracked combine harvester and the moisture content,positive slope,and oblique slope of the paddy soil as test factors,simulations under different conditions are implemented.Through a sixfactor two-level PB(Plackett-Burman)test was conducted to screen out the slip rate significant factors that is soil moisture content,positive slope,and steering angle velocity.Then,a three-factor three-level BB(Box-Behnken)test was conducted on the three selected factors.The results show that soil moisture content,positive slope,and steering angle velocity have a very significant impact on slip rate,and the order of significance is steering angle velocity>soil moisture content>positive slope.As the positive slope and steering angle velocity increase,the slip rate increases significantly,while as the soil moisture content increases,the slip rate slowly decreases.The soil moisture content has a certain interaction with the positive slope and steering angular velocity.However,there is basically no interaction between positive slope and steering angular velocity.This study has important reference value and scientific significance for improving the path tracking accuracy and stability of tracked combine harvester for autonomous harvesting operation in paddy soil.
作者
赵鑫
路恩
王晖
田中明
ZHAO Xin;LU En;WANG Hui;TIAN Zhongming(School of Agricultural Engineering,Jiangsu University,Zhenjiang 212013,Jiangsu,China;Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment,Jiangsu University,Zhenjiang 212013,Jiangsu,China)
出处
《中国工程机械学报》
北大核心
2025年第2期371-376,共6页
Chinese Journal of Construction Machinery
基金
国家自然科学基金资助项目(52005220)
国家重点研发计划子课题资助项目(2022YFD00150402)。
作者简介
赵鑫(1999-),男,硕士生。E-mail:zamwux7@163.com;通信作者:路恩(1990-),男,副研究员,博士。E-mail:jsluen@163.com。
