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Design of Simplified Model Predictive Controller

Borhan, Mohd Ikram Solehuddin (2013) Design of Simplified Model Predictive Controller. Universiti Teknologi PETRONAS. (Unpublished)

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Abstract

There are a lot of control strategies being derived from model predictive control (MPC) concept such as Internal Model Control (IMC). In MPC, inverse of process transfer functions is required in obtaining the control law. However, an exact inverse transfer function can never be obtained due to certain conditions that lead to physically unrealizable processes such as dead time, numerator dynamics, constraints and model mismatch. New technique known as Simplified Model Predictive Control (SMPC) was developed which solves the problem of acquiring exact inverse response of a model to predict the future outputs of the corresponding inputs. SMPC control algorithm is an efficient and simple method for multivariable control. SMPC algorithm for 2 x 2 system of distillation column model developed by Saniye and Suleiman (2011) is designed using MATLAB simulation. This SMPC only concerns for set point tracking of the model.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Separation Process
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2013 11:07
Last Modified: 09 Oct 2013 11:07
URI: http://utpedia.utp.edu.my/id/eprint/8474

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