Skip to main navigation Skip to search Skip to main content

Classic and Hybrid Control Systems in Parabolic Trough Collector

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

Abstract

The depletion of traditional energy resources due to exponential consumption driven by population growth is leading to a shift towards alternative energy sources. Solar energy is prominent among these as it is abundant and reliable. This study presents a hybrid control system for solar tracking in a laboratory parabolic trough collector (PTC) with two degrees of freedom. The system combines an open-loop mechanism for azimuth angle control with a fuzzy logic controller (FLC) for altitude angle adjustment, alongside classical controllers (PI and PID) for comparison. These systems enable the collector to automatically reorient itself, achieving an average temperature of 143.91 C in the incident ray-receiving tube. Notably, the fuzzy controller outperforms others with a rapid stabilization time of 16 ms and minimal oscillations. Previous research aimed to enhance solar tracking efficiency but faced challenges under adverse meteorological conditions, leading to unreliable light sensor readings. Therefore, this project aims to design a hybrid controller that combines open-loop and closed-loop systems for a two-degree-of-freedom PTC. Open-loop control relies on a mathematical algorithm tracking the sun’s apparent movement, ensuring accurate readings even under unfavorable conditions. Closed-loop control uses a fuzzy algorithm to fine-tune the PTC’s position, aligning it orthogonally to solar radiation. This holistic approach aims to enhance solar tracking performance and overall renewable energy system efficiency.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Computer Science, Electronics and Industrial Engineering (CSEI 2023) - Innovations in Industrial Engineering and Robotics in Industry - Bridging the Gap Between Theory and Practical Application
EditorsMarcelo V. Garcia, Carlos Gordón-Gallegos, Asier Salazar-Ramírez, Carlos Nuñez
PublisherSpringer Science and Business Media Deutschland GmbH
Pages448-465
Number of pages18
ISBN (Print)9783031709807
DOIs
StatePublished - 2024
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023 - Ambato, Ecuador
Duration: 6 Nov 202310 Nov 2023

Publication series

NameLecture Notes in Networks and Systems
Volume797 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2023
Country/TerritoryEcuador
CityAmbato
Period6/11/2310/11/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fuzzy Logic Control
  • Hybrid Control
  • Parabolic Trough Collector
  • Solar Tracker

CACES Knowledge Areas

  • 417A Electronics, Automation and Sound

Fingerprint

Dive into the research topics of 'Classic and Hybrid Control Systems in Parabolic Trough Collector'. Together they form a unique fingerprint.

Cite this