N Floor Elevator Control System using PLC

This article presents an optimized Elevator Control System (ECS) utilizing Siemens PLC and TIA Portal software to simplify motor control for forward and reverse movements. Traditional elevator control systems involve complex coding and hardware-intensive configurations for motor direction control. This research addresses the issue of excessive code complexity and hardware dependency by developing an optimized logic circuit-based approach that streamlines the programming process. The proposed method significantly reduces coding effort, enhances system reliability, and minimizes hardware requirements, making elevator control more efficient and cost-effective. Experimental validation demonstrates improvements in response time, energy efficiency, and overall system performance. This work contributes to modern building automation by offering a simplified, scalable, and energy-efficient solution for elevator systems.

Authors

Institutions

Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/ictmim65579.2025.10988094
Primary Topic
Elevator Systems and Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

N Floor Elevator Control System using PLC

C. S. S. Anupama, S. Shaik, Sai Manikanta Garlapati, Mani Durga Deepak Balaga et al.
Elevator Systems and Control
article

N Floor Elevator Control System using PLC

C. S. S. Anupama, S. Shaik, Sai Manikanta Garlapati, Mani Durga Deepak Balaga, Srivalli Chennamsetti
article en

Abstract

This article presents an optimized Elevator Control System (ECS) utilizing Siemens PLC and TIA Portal software to simplify motor control for forward and reverse movements. Traditional elevator control systems involve complex coding and hardware-intensive configurations for motor direction control. This research addresses the issue of excessive code complexity and hardware dependency by developing an optimized logic circuit-based approach that streamlines the programming process. The proposed method significantly reduces coding effort, enhances system reliability, and minimizes hardware requirements, making elevator control more efficient and cost-effective. Experimental validation demonstrates improvements in response time, energy efficiency, and overall system performance. This work contributes to modern building automation by offering a simplified, scalable, and energy-efficient solution for elevator systems.

Siddhartha Medical College (IN)
Affordable and clean energy
Openalex Percentile: Top 89%
Elevator Systems and Control
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.