摘要
针对目前工业领域中机器人的生产普遍存在运行轨迹偏差较大的问题,本文开展基于大数据聚类的工业机器人控制系统研究,对运动控制卡、机器人关节伺服电机和驱动器等硬件结构的选择进行详细说明,对基于大数据聚类的线性调频控制信号拟合、工业机器人控制轨迹规划和控制示教再现等软件设计。实验证明,该系统与传统系统相比工业机器人控制时运行轨迹偏差更小,更符合工业生产的需要,具有更高的经济价值。
In order to solve the problem of large trajectory deviation in robot production in industrial field,the research on industrial robot control system based on big data clustering is carried out.The selection of hardware structures such as motion control card,robot joint servo motor and driver are described in detail.And the software design of LFM control signal fitting,industrial robot control trajectory planning and industrial robot control teaching reproduction based on big data clustering.The experimental results show that compared with the traditional system,the running trajectory deviation of the system is smaller,it is more in line with the needs of industrial production,and has higher economic value.
作者
刘大龙
LIU Dalong(School of mechanical and electrical engineering,Guangzhou huashang vocational college,Zengcheng Guangdong 511300,China)
出处
《智能计算机与应用》
2020年第6期183-186,190,共5页
Intelligent Computer and Applications
关键词
大数据聚类
工业
机器人
控制系统
big data clustering
industry
robot
control system
