Volume 7, Issue 4 (Journal of Control, V.7, N.4 Winter 2014)                   JoC 2014, 7(4): 31-39 | Back to browse issues page

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Abstract:   (3501 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.
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Type of Article: Research paper | Subject: Special
Received: 2015/02/13 | Revised: 2015/02/26 | Accepted: 2015/02/13 | Published: 2015/02/13