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

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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)

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.

Suggested Citation

  • Nun Pitalúa-Díaz & Enrique J. Herrera-López & Guillermo Valencia-Palomo & Alvaro González-Angeles & Ricardo A. Rodríguez-Carvajal & Nohe R. Cazarez-Castro, 2015. "Comparative Analysis between Conventional PI and Fuzzy LogicPI Controllers for Indoor Benzene Concentrations," Sustainability, MDPI, vol. 7(5), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:5:p:5398-5412:d:49090
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    References listed on IDEAS

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    1. Huiru Zhao & Sen Guo, 2014. "Selecting Green Supplier of Thermal Power Equipment by Using a Hybrid MCDM Method for Sustainability," Sustainability, MDPI, vol. 6(1), pages 1-19, January.
    2. Harrison, R. Wes, . "R. Wes Harrison," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 45, pages 1-2.
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    1. Wesley Beccaro & Carlos A. S. Ramos & Silvio X. Duarte, 2023. "Optimizing semiconductor processing open tube furnace performance: comparative analysis of PI and Mamdani fuzzy-PI controllers," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 3015-3024, October.

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