基于ADAMS的甜菜收获机自动对行探测机构仿真

设计了土下果实收获机械自动对行机构。应用UG建立了自动对行机构三维模型，并将其导入机械系统动力学仿真软件ADAMS中构建了虚拟样机模型。通过设置模型参数，添加约束和驱动，以甜菜为收获对象，实现了在ADAMS/View环境下自动对行的运动仿真。以自动对行机构复位弹簧的刚度、预紧力和作业前进速度为影响因素，以角度传感器获得的角速度为目标函数表征自动对行灵敏度及漏挖率，对影响自动对行的参数进行了虚拟正交试验研究，并进行了田间验证试验。结果表明，复位弹簧刚度的影响不显著，当复位弹簧预紧力为200 N、作业前进速度为1.5 m/s时，漏挖损失率最小。

Simulation of Auto-follow Row Detection Mechanism in Beet Harvester Based on ADAMS

An auto-follow row mechanism was designed. A three-dimensional model of the auto-follow row mechanism was built under the application of UG, and then imported to the mechanical system dynamics simulation software ADAMS to build a virtual prototype model. Taking beet as harvest object, the simulation of the auto-follow row movement in ADAMS / View environment was conducted by setting the model parameters, adding constraints and drive. Taking the return spring stiffness, reset spring preload and operating forward speed of the auto-follow row mechanism as influencing factors, and taking the angular velocity of the angle sensor as the objective function to characterize auto-follow row sensitivity and drain digging rate, a virtual orthogonal test of parameters was performed, which affected auto-follow row movement. A field verification test was also carried out and the results showed that the effect of the return spring stiffness was not significant. When the return spring preload force was 200 N, the forward operating speed was 1.5 m/s, and the drain dug loss rate was minimum.