Next Article in Journal
An Optimal Path Computation Architecture for the Cloud-Network on Software-Defined Networking
Previous Article in Journal
Changes in Arable Land Demand for Food in India and China: A Potential Threat to Food Security
Article Menu

Export Article

Open AccessArticle
Sustainability 2015, 7(5), 5398-5412; doi:10.3390/su7055398

Comparative Analysis between Conventional PI and Fuzzy LogicPI Controllers for Indoor Benzene Concentrations

1
Departamento de Ingeniería Industrial, Universidad de Sonora, Blvd. Luis Encinas y Rosales S/N, Col. Centro. Hermosillo, Sonora C.P. 83000, México
2
Biotecnología Industrial, Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C., Avenida Normalistas 800, Colinas de la Normal. Guadalajara, Jalisco C.P. 44270, México
3
Instituto Tecnológico de Hermosillo, Av. Tecnológico y Periférico Poniente S/N. Hermosillo, Sonora C.P. 83170, México
4
Facultad de Ingeniería Campus Mexicali, Universidad Autónoma de Baja California, Mexicali, Baja California C.P. 21280, México
5
Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Tijuana, Tijuana, Baja California C.P. 22414, México
*
Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 17 January 2015 / Revised: 20 April 2015 / Accepted: 24 April 2015 / Published: 4 May 2015
(This article belongs to the Section Sustainable Engineering and Science)
View Full-Text   |   Download PDF [2234 KB, uploaded 4 May 2015]   |  

Abstract

Exposure to hazardous concentrations of volatile organic compounds indoors in small workshops could affect the health of workers, resulting in respirative diseases, severe intoxication or even cancer. Controlling the concentration of volatile organic compounds is required to prevent harmful conditions for workers in indoor environments. In this document, PI and fuzzy PI controllers were used to reduce hazardous indoor air benzene concentrations in small workplaces. The workshop is represented by means of a well-mixed room model. From the knowledge obtained from the model, PI and fuzzy PI controllers were designed and their performances were compared. Both controllers were able to maintain the benzene concentration within secure levels for the workers. The fuzzy PI controller performed more efficiently than the PI controller. Both approaches could be expanded to control multiple extractor fans in order to reduce the air pollution in a shorter time. The results from the comparative analysis showed that implementing a fuzzy logic PI controller is promising for assuring indoor air quality in this kind of hazardous work environment. View Full-Text
Keywords: benzene; PI controller; fuzzy logic PI controller; well-mixed room model; hazardous; indoor benzene; PI controller; fuzzy logic PI controller; well-mixed room model; hazardous; indoor
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Pitalúa-Díaz, N.; Herrera-López, E.J.; Valencia-Palomo, G.; González-Angeles, A.; Rodríguez-Carvajal, R.A.; Cazarez-Castro, N.R. Comparative Analysis between Conventional PI and Fuzzy LogicPI Controllers for Indoor Benzene Concentrations. Sustainability 2015, 7, 5398-5412.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sustainability EISSN 2071-1050 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top