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

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

Departamento de Ingeniería Industrial, Universidad de Sonora, Blvd. Luis Encinas y Rosales S/N, Col. Centro. Hermosillo, Sonora C.P. 83000, México
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
Instituto Tecnológico de Hermosillo, Av. Tecnológico y Periférico Poniente S/N. Hermosillo, Sonora C.P. 83170, México
Facultad de Ingeniería Campus Mexicali, Universidad Autónoma de Baja California, Mexicali, Baja California C.P. 21280, México
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]   |  


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

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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).

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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.

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