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

Nun Pitalúa-Díaz, Enrique J. Herrera-López, Guillermo Valencia-Palomo, Alvaro González-Angeles, Ricardo A. Rodríguez-Carvajal and Nohe R. Cazarez-Castro
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Nun Pitalúa-Díaz: Departamento de Ingeniería Industrial, Universidad de Sonora, Blvd. Luis Encinas y Rosales S/N, Col. Centro. Hermosillo, Sonora C.P. 83000, México
Enrique J. Herrera-López: 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
Guillermo Valencia-Palomo: Instituto Tecnológico de Hermosillo, Av. Tecnológico y Periférico Poniente S/N. Hermosillo, Sonora C.P. 83170, México
Alvaro González-Angeles: Facultad de Ingeniería Campus Mexicali, Universidad Autónoma de Baja California, Mexicali, Baja California C.P. 21280, México
Ricardo A. Rodríguez-Carvajal: Departamento de Ingeniería Industrial, Universidad de Sonora, Blvd. Luis Encinas y Rosales S/N, Col. Centro. Hermosillo, Sonora C.P. 83000, México
Nohe R. Cazarez-Castro: Departamento de Ingeniería Eléctrica y Electrónica, Instituto Tecnológico de Tijuana, Tijuana, Baja California C.P. 22414, México

Sustainability, 2015, vol. 7, issue 5, 1-15

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.

Keywords: benzene; PI controller; fuzzy logic PI controller; well-mixed room model; hazardous; indoor (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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