Indoor air quality control using backpropagated neural networks

Uskenbayeva R. Altayeva A. Gusmanova F. Abdulkarimova G. Berkimbaeva S. Dalbekova K. Suiman A. Zhanseitova A. Amreyeva A.
2022 Tech Science Press

Computers, Materials and Continua
2022 #70 Issue 2 3837 - 3853 pp.

Providing comfortable indoor air quality control in residential construction is an exceedingly important issue. This is due to the structure of the fast response controller of air quality. The presented work shows the breakdown and creation of a mathematical model for an interactive, nonlinear system for the required comfortable air quality. Furthermore, the paper refers to designing traditional proportional integral derivative regulators and proportional, integral, derivative regulators with independent parameters based on a backpropagation neural network. In the end, we perform the experimental outputs of a suggested backpropagation neural network-based proportional, integral, derivative controller and analyze model results by applying the proposed system. The obtained results demonstrated that the proposed controller can provide the required level of clean air in the room. The proposed developed model takes into consideration international Heating, Refrigerating, and air conditioning standards as ASHRAE AND ISO. Based on the findings, we concluded that it is possible to implement a proposed system in homes and offer equivalent indoor air quality with continuous mechanical ventilation without a profuse amount of energy.

Air quality , Backpropagation , Controller , Indoor air , Math model , PID

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International Information Technology University, Almaty, Kazakhstan
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Abai Kazakh National Pedagogical University, Almaty, Kazakhstan
University of International Business, Almaty, Kazakhstan
College of Computing and Informatics, Tenaga National University, Kuala Lumpur, Malaysia
L. N. Gumilyov Eurasian National University, Nur-Sultan, Kazakhstan

International Information Technology University
Al-Farabi Kazakh National University
Abai Kazakh National Pedagogical University
University of International Business
College of Computing and Informatics
L. N. Gumilyov Eurasian National University

10 лет помогаем публиковать статьи Международный издатель

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