Desenvolvimento de um sistema de controle multivariável em uma plataforma experimental.

Abstract

In the Master’s Dissertation aims to develop a multivariable control system on an experimental platform, dedicated to the study of the fouling formation process in industrial tubes. The parametric estimation and validation of mathematical models for platform study is done by means of identification methods and statistical measures, respectively. The decentralized control structure and loop pairing criteria are selected for choosing the best input-output combinations of the experimental platform. The design of decentralized controllers is made by means of multivariable tuning techniques without and with decoupling of loops. The decentralized controllers obtained are evaluated based on performance index. The implementation of the designed control system is developed by means of a supervisory system developed in the LabVIEW software, to verify the impact of fouling on the current behavior of the experimental platform, and thus, to allow the accomplishment for predictive maintenance.