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作 者:王沁军[1] Wang Qinjun(Shanxi Institute of Mechanical and Electrical Engineering, Changzhi 046011, China)
出 处:《农机化研究》2019年第4期48-52,共5页Journal of Agricultural Mechanization Research
基 金:江西省自然科学基金项目(0650083)
摘 要:为深入了解插秧机的运动学机理,基于CNC智能控制技术对其进行分析与讨论。在充分理解插秧机结构组成与工作原理的基础上,融入SOPC嵌入导航控制,建立插秧机分插部件秧针的位移运动学模型;利用CNC控制与设计加工需求的关联度,建立插秧机关键运动部件线性回归方程;进行了插秧机核心部件参数设计优化与加工试验。结果表明:对数控加工过程中的关键参数建立最佳控制函数,得出最优解,效果明显。插秧机关键部件实现智能加工,可在保证加工精度与要求的前提下迅速完成算法迭代,且轨迹路径完成较为符合实际,可为其他农用机械相关运动规律分析提供参考。In order to understand the kinematics mechanism, the transplant machine was analyzed and discussed based on the CNC intelligent control technology. On the basis of fully understanding the structure composition and working principle of the transplant machine, integrating with SOPC embedded navigation control, the displacement kinematics model of transplanting parts of transplant machine was established, and the linear regression equation of key moving parts of transplant machine was established by using the correlation degree of CNC control and design processing demand.The parameter optimization and processing test of core components of the transplant machine were carried out. The experiment showed that the best control function of the key parameters in NC machining process was established, and the optimal solution was obtained and the results were obvious.Intelligent processing of key parts of the transplant machine could finish the algorithm iteration quickly under the premise of ensuring the machining accuracy and requirement, and the track path completion was more practical, which would provide some reference for related motion laws analysis of other agricultural machinery.
分 类 号:S233.91[农业科学—农业机械化工程]
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