Volume 7, Issue 4 (Journal of Control, V.7, N.4 Winter 2014)
JoC 2014, 7(4): 31-39 |
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Tavassoli B, Badfar F. Constrained Model Predictive Controller Design Based on Multi-parametric Programming for the Boiler Unit of a Gas Refinery. JoC 2014; 7 (4) :31-39
URL: http://joc.kntu.ac.ir/article-1-200-en.html
URL: http://joc.kntu.ac.ir/article-1-200-en.html
Abstract: (10467 Views)
One of the breakthroughs in the progress of model predictive control is usage of the multi-parametric programming methods in solving the optimization problems in the constrained model predictive control algorithms to obtain explicit solutions. However, constrained model predictive control based on multi-parametric programming has not yet been applied widely in industries. In this paper, after a brief description of this method, nonlinear modeling of the boiler is considered and the obtained model is linearized at a working point. Then, the mentioned control method is applied and it is shown that the constrained model predictive control with multi-parametric programming has a much better performance with respect to the PID control, while it is computationally much faster with respect to the ordinary constrained model predictive control.
Keywords: Constrained Model Predictive Control, Multi-parametric Programming, Boiler Unit, Gas Refinery.
Type of Article: Research paper |
Subject:
Special
Received: 2015/02/13 | Accepted: 2015/02/13 | Published: 2015/02/13
Received: 2015/02/13 | Accepted: 2015/02/13 | Published: 2015/02/13
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