Controlling indoor benzene concentrations using a fuzzy system

N. Pitala-Díaz, E. J. Herrera-López, L. E. Velázquez Contreras, C. R. Alvarez Chávez, N. Munguia Vega

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

Indoor occupational exposure to hazardous concentrations of Volatile Organic Compounds (VOC) at small workshops could have impact in the health of the workers, resulting in severe intoxication, respiratory diseases or even cancer Therefore, controlling the concentration of (VOCs) in indoors is necessary to avoid injuries of the workers In this manuscript it is presented a strategy to reduce hazardous indoor air benzene concentrations in small workshops through the use of a fuzzy logic controller The closed room is separated in two defined zones using the Near Field-Far Field (NF-FF) model From the knowledge of the (NF-FF) model a Mamdani fuzzy model controller was designed to maintain the benzene concentration within secure levels for the workers Fuzzy systems can be analyzed as a mapping between an input data vector (error) and a control output The input-output behavior is defined by fuzzy rules which infer an output value from an input value A fuzzy control system is used to characterize the duty cycle required by a pulse width modulator (PWM), which controls the speed of direct current (DC) motors of exhaust fans; thus keeping the indoor air benzene concentration within the regulations established by the EPA (0.03 mg/m3) The simulation results show that the proposed fuzzy control is promissory to assure indoor air quality in this kind of work environments

Original languageEnglish
Title of host publication16th IFAC Symposium on Automation in Mining, Minerals and Metal Processing, MMM 2013 - Proceedings
PublisherIFAC Secretariat
Pages449-454
Number of pages6
EditionPART 1
ISBN (Print)9783902823427
DOIs
StatePublished - 2013
Event16th IFAC Symposium on Automation in Mining, Minerals and Metal Processing, MMM 2013 - San Diego, CA, United States
Duration: 25 Aug 201328 Aug 2013

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume15
ISSN (Print)1474-6670

Conference

Conference16th IFAC Symposium on Automation in Mining, Minerals and Metal Processing, MMM 2013
Country/TerritoryUnited States
CitySan Diego, CA
Period25/08/1328/08/13

Keywords

  • Air pollution
  • Environment control
  • Fuzzy control
  • Modeling
  • Motor control.

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