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Design of Model Predictive Controller for Pasteurization Process

By Tesfaye Alamirew, V. Balaji and Nigus Gabbeye

Abstract

This research paper is about developing a better type of controller, known as MPC (Model Predictive Control) for pasteurization process plant. MPC is an advanced control strategy that uses the internal dynamic model of the process and a history of past control moves and a combination of many different technologies to predict the future plant output.. The dynamics of the pasteurization process was estimated by using system identification from the experimental data. The quality of model structures like ARX, ARMAX, BJ and CT model structures was checked based on  best fit with validation data, residual analysis and stability analysis. Auto-regressive with exogenous input (ARX322) model was chosen as a model structure of the pasteurization process dynamics and fits about 79.75% with validation data. Finally MPC control strategies were designed using ARX322 model structure.

Topics: Pasteurization,MPC,PID,Processcontrol, Discrete model structures
Publisher: 'Institute of Advanced Engineering and Science'
Year: 2017
DOI identifier: 10.11591/ijeei.v5i2.279
OAI identifier: oai:ojs.portalgaruda.org:article/279

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