Design of Control System for Moving Robot Based on Siemens PLC

With the continuous improvement of automation level in modern production lines, the application of robotic arms is becoming more and more widespread, greatly reducing the labor intensity of workers and also lowering labor costs. This article designs a handling robot arm controlled by Siemens PLC to move servo motors and stepper motors. The basic structure and functions of the robot arm are discussed. Through the design of system hardware and software, a training platform is built to test system stability and achieve automatic control of the production line. This enables the robot arm to operate efficiently and accurately, thereby improving production efficiency.

Authors

Institutions

Publication Details

Published
2024-09-27
DOI
https://doi.org/10.1109/iciscae62304.2024.10761736
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of Control System for Moving Robot Based on Siemens PLC

Huang Yuting, Ding Mao
Industrial Automation and Control Systems
article

Design of Control System for Moving Robot Based on Siemens PLC

Huang Yuting, Ding Mao
article en

Abstract

With the continuous improvement of automation level in modern production lines, the application of robotic arms is becoming more and more widespread, greatly reducing the labor intensity of workers and also lowering labor costs. This article designs a handling robot arm controlled by Siemens PLC to move servo motors and stepper motors. The basic structure and functions of the robot arm are discussed. Through the design of system hardware and software, a training platform is built to test system stability and achieve automatic control of the production line. This enables the robot arm to operate efficiently and accurately, thereby improving production efficiency.

First Automotive Works (China) (CN), Changchun University (CN)
Affordable and clean energy
Openalex Percentile: Top 74%
Industrial Automation and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.