In this paper, a switching fuzzy logic controller (SFLC) was proposed to reduce formaldehyde (FA) concentrations in a gross anatomy laboratory. At large vapor levels a hasty fuzzy logic controller (HFLC) first is activated to decrease the hazardous concentration. A switching criterion enables a second precise fuzzy logic controller (PFLC) that smoothly takes the systems output near the desired set-point. An adaptive algorithm allowed the SFLC to select the proper number of extraction systems from 3, 6, or 9 devices. The simulated performance of the fuzzy controller was satisfactorily decreasing and stabilizing the FA concentration even in the presence of parametric disturbances at set-point values of 0.37 mg/m3 and 0.29 mg/m3. However, the performance of the SFLC deteriorated as the number of dissection tables >35. The results showed that SFLC can be considered as a promising strategy to ensure indoor air quality in gross anatomy laboratories.
Bibliographical noteFunding Information:
The authors thank the Universidad of Sonora and the Centro de Investigación y Asistencia en Tecnología y Diseño del Estado de Jalisco A.C. for supporting this research.
© 2020 Elsevier Ltd
- Fuzzy system
- Gross anatomy laboratory
- Switched controller
- Well mixed room model