Industrial Digitalization for Controlling a Dc Motor Through WNCS

Bryan Pillajo, Rodrigo Javier Bautista Toapanta, C. Pillajo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Development of a wireless network control system (WNCS), applied to the speed control of a DC motor through a PID algorithm that is configured with the programming tool for IoT, such as NODE-RED which allows connecting various devices in a wireless network, the mechanism is implemented by an embedded card ESP8266 which is interconnected with electronic modules, such as sensors, actuators. The data of the speed of the mechanism can be observed in real time, for which augmented reality (AR) was used by identifying a previously established scene or pattern, digitally superimposes information on the image for this application can be viewed from a mobile device, For communication between devices The MQTT (Message Queing Telemetry Transport) protocol was used to the network broker, where through a dashboard the speed values can be confirmed. Virtual Reality (VR) was used for the creation of a graphic interface that allows a simulation of a 3D scene made with Matlab programming tools, allowing to develop the modeling of the system and thus observe the dynamic behavior of the system in an ideal way to compare it with the real world.

Original languageEnglish
Title of host publicationInformation Technology and Systems - Proceedings of ICITS 2022
EditorsÁlvaro Rocha, Carlos Ferrás, Efren Jimenez Delgado, Abel Méndez Porras
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages9
ISBN (Print)9783030962920
StatePublished - 2022
EventInternational Conference on Information Technology and Systems, ICITS 2022 - San Carlos, Costa Rica
Duration: 9 Feb 202211 Feb 2022

Publication series

NameLecture Notes in Networks and Systems
Volume414 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceInternational Conference on Information Technology and Systems, ICITS 2022
Country/TerritoryCosta Rica
CitySan Carlos

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Augmented reality
  • MQTT
  • Node red
  • Virtual reality
  • WNCS


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