机械与电子2024，Vol.42Issue(1)：58-62,5.
基于大数据聚类的搬运机器人抓取末端控制系统设计
Design of the Control System for the Grab End of the Handling Robot Based on Big Data Clustering
毛开梅 1邹星2
作者信息
- 1. 西安铁路职业技术学院电子信息学院,陕西西安 710014
- 2. 西安铁路职业技术学院教务处,陕西西安 710014
- 折叠
摘要
Abstract
In order to improve the grasping efficiency of the handling robot and avoid damage to the goods,a handling robot grasping end control system based on big data clustering is designed.The main controller and drive controller are used to stably control the operation of the robot.By installing an infrared scanning device and an integrated phase-locked loop decoder LM567 in the end actuator,it is possible to judge whether the goods are inside the grab end.FRS-402 sensitive resistor is used to reduce the value of force sensitive resistor,improve the stability of grasping,and complete the hardware design of the system.The control signal is fitted based on big data clustering,the data dimension is reduced and the feature vec-tor is extracted.Through three steps of constant speed grasping,feedback deceleration and stress relaxa-tion,the design of the grasping end control system of the handling robot is realized.The experimental re-sults show that the designed system can effectively reduce the grasping position error,improve the han-dling efficiency and reduce the loss of goods.关键词
大数据聚类/搬运机器人/抓取末端控制/自适应控制/传感技术Key words
big data clustering/handling robot/grab end control/adaptive control/sensing technology分类
信息技术与安全科学引用本文复制引用
毛开梅,邹星..基于大数据聚类的搬运机器人抓取末端控制系统设计[J].机械与电子,2024,42(1):58-62,5.
