Identification of the Temperature and The Relative Humidity in a Heating, Ventilating and air Conditioning

Abstract

This document demonstrates mathematical models for the variation of the drive temperature and therelative humidity as part of climate control for a room dedicated to the formulation of vaccines. Thesemodels will allow a correct estimate of the dynamic behaviors of these variables and further design inthe future, of controllers with better benefits than the existing ones. A methodology is proposed forsystem identification, that will guarantee a bigger and better organization and integration of steps tocontinue to achieve the proposed objectives. Also an interesting idea is the generation and applicationof pseudo-random binary signals (PRBS) during the identification. The estimate of the parameters andsimulation according to the selected structures, are carried out with the mathematical tool Matlab®.For the validation of the resulting pattern a statistical technique analysis is utilized apart from datacomparison.