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Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
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In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
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Related Experiment Video

Updated: Aug 13, 2025

Author Spotlight: Enhancing Engineering Education via WebVR-Based Online Laboratories
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RaspyControl Lab: A fully open-source and real-time remote laboratory for education in automatic control systems

Jonathan Álvarez Ariza1, Christian Nomesqui Galvis1

  • 1Department of Technology in Electronics, Engineering Faculty, Corporación Universitaria Minuto de Dios-UNIMINUTO, 111021 Bogotá, Colombia.

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|January 24, 2023
PubMed
Summary
This summary is machine-generated.

This study presents a low-cost, open-source remote laboratory for automatic control systems education. Utilizing Raspberry Pi and Python, it enhances student learning and experimentation in control engineering.

Keywords:
Automatic controlControl systemsEngineering educationOpen-source hardwareOpen-source softwarePythonRaspberry PiRemote laboratory

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Area of Science:

  • Engineering Education
  • Automatic Control Systems
  • Open-Source Technology

Background:

  • Remote laboratories are valuable for engineering education but often limited by cost and implementation challenges.
  • Existing remote labs face accessibility issues for students and educators due to technical and financial barriers.

Purpose of the Study:

  • To describe a fully open-source remote laboratory for automatic control systems education.
  • To present a low-cost solution for implementing remote experimentation in control engineering.
  • To provide a scalable and adaptable platform for various control system experiments.

Main Methods:

  • Developed a hardware and software system using Raspberry Pi and Python.
  • Designed a user-friendly web interface with real-time video feedback.
  • Implemented a low-cost tank control system as a demonstrative experiment.
  • Documented build and replication instructions in open repositories and the paper.

Main Results:

  • The remote laboratory has an approximate cost of USD 461, reducible to USD 420 or less.
  • The system supports diverse automatic control activities, including system identification and controller implementation.
  • A functional web interface enables remote user interaction and experimentation.

Conclusions:

  • The developed remote laboratory offers an accessible, low-cost, and open-source solution for automatic control systems education.
  • This platform can be adapted by students, educators, and stakeholders for learning and teaching control engineering.
  • The project aims to broaden access to practical experimentation in automatic control.