TY - JOUR
T1 - Comparative analysis between conventional PI and fuzzy logic PI controllers for indoor benzene concentrations
AU - Pitalúa-Díaz, Nun
AU - Herrera-López, Enrique J.
AU - Valencia-Palomo, Guillermo
AU - González-Angeles, Alvaro
AU - Rodríguez-Carvajal, Ricardo A.
AU - Cazarez-Castro, Nohe R.
PY - 2015
Y1 - 2015
N2 - 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. 2015 by the authors; licensee MDPI, Basel, Switzerland.
AB - 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. 2015 by the authors; licensee MDPI, Basel, Switzerland.
KW - Benzene
KW - Fuzzy logic PI controller
KW - Hazardous
KW - Indoor
KW - PI controller
KW - Well-mixed room model
UR - http://www.scopus.com/inward/record.url?scp=84934875010&partnerID=8YFLogxK
U2 - 10.3390/su7055398
DO - 10.3390/su7055398
M3 - Artículo
SN - 2071-1050
VL - 7
SP - 5398
EP - 5412
JO - Sustainability (Switzerland)
JF - Sustainability (Switzerland)
IS - 5
ER -