CONTROL SYSTEM FOR MICROCLIMATIC PARAMETERS IN INDUSTRIAL PREMISES

Abstract

Smart control of the microclimate in an industrial room should ensure compliance with the optimal temperature and humidity. However, maintaining the necessary microclimate parameters requires the use of a large amount of energy resources, which are becoming increasingly expensive. Therefore, the development of systems that allow more efficient use of resources to regulate the microclimatic parameters in premises is a relevant task today. Despite the large number of works in the field of developing control systems for microclimatic parameters in industrial premises, there is a high need for research on regulation methods and the creation of effective systems for regulating microclimatic parameters, as this directly affects energy consumption and the quality of the microclimate in production. This article focuses on developing a working prototype of a system for controlling the microclimate parameters in an industrial room, modeling and adjusting regulators, and a fuzzy logic controller to ensure optimal production environment conditions and energy savings. The control system is implemented based on the ESP 32 controller, which has the necessary functionality for ensuring operation and optimal cost, allowing the control process to be implemented. The controller receives data from sensors and produces a control signal based on their analysis. The collected data is sent to a server in the cloud environment, which can be accessed remotely from mobile devices. The authors modeled the control system's operation using Matlab Simulink. To do this, a model of the room was created and calculated in MathCad. Then, a simulation of the system's operation was conducted in two versions: using a regulator and a fuzzy logic controller. The analysis of the results showed the good performance of the system using the fuzzy logic controller, which has no overshoot with a shorter settling time of 0.462 s compared to the regulator, which had a settling time of 0.728 s and an overshoot of 0.269%. In the future, it is planned to improve the control system by adding alternative energy sources (heat pump, solar panels, etc.), which can reduce energy consumption for ensuring the microclimate.