Aplicação da estratégia de controle de nível baseado em modelo para um sistema de tanques

Abstract

With the rising development of embedded technologies, the use of a controller with a traditional control strategy, such as a PID, can be replaced by advanced control methods. Advanced control methods guarantee greater efficiency in complex situations which enhances process security and final product quality. The present work investigated how model-based control methods performed in a laboratorial tank system scenario. For this purpose, a theoretical and stochastic model was developed which was based on mass, energy, momentum, and analysis of the data collected. After validation, a model-based control strategy with a generic and then optimal approach was applied off-line, with ISE tuning. For resolving the model an explicit Range-Kutta’s method and parameter optimization with PSO method was used. Finally, the influence of data reconciliation processing on control development was investigated. It was concluded that both model-based strategies were more efficient regarding the stability and proximity of the controlled variable to the setpoint, especially when the data reconciliation was present.