Abstract
Ensuring comfortable air quality control in residential buildings is an extremely important issue. This is directly related to the design of the high-speed air quality controller. First, this paper presents an analysis and construction of an interactive nonlinear mathematical model of the required comfort of air quality. Further, the article discusses methods for designing traditional proportional-integral derivative (PID) controllers and PID controllers with self-adjusting parameters based on an inverse neural network. Finally, we present the results of modeling the proposed back propagation neural network based on the pid controller in Matlab and analyze the results of modeling using the proposed system.