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Fuzzy Controller for Automatic Ventilation Control System

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Advances in Artificial Systems for Medicine and Education V (AIMEE 2021)


The paper provides a brief overview of current approaches to modeling intelligent controllers in vent systems of dwellings. The authors propose a model based on fuzzy logic for controlling the speed of rotation of an asynchronous fan engine according to the temperature values inside and outside a housing accommodation and considers the temperature current sanitation and hygiene standards in living accommodations. The model has 2 input linguistic variables (indoor and outdoor temperature) and one output (fan rotor speed). The fuzzy product rule base contains 42 components. 20 fuzzy sets are introduced to describe the model. A graphical and analytical representation is given for each of them. To rate the quality of the proposed fuzzy controller model, the following metrics was used: mean absolute error (MAE), root mean square error (RMSE), and symmetric mean absolute percentage error (SMAPE). The numerical values of the quality metrics based on the test results (MAE = 1.19; RMSE = 2.56; SMAPE = 0.023) indicate that the regulator based on fuzzy logic can adequately control the frequency converter that sets the fan motor speed, and the model showed prospective operability in supply and exhaust ventilation devices.

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Bazhenov, R., Lavrov, E., Sedova, N., Sedov, V. (2022). Fuzzy Controller for Automatic Ventilation Control System. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education V. AIMEE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 107 . Springer, Cham.

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