Article
Version 1
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Model Predictive Control for a Recover Water Process
Version 1
: Received: 28 October 2018 / Approved: 29 October 2018 / Online: 29 October 2018 (10:57:05 CET)
How to cite: Mercorelli, P. Model Predictive Control for a Recover Water Process. Preprints 2018, 2018100672. https://doi.org/10.20944/preprints201810.0672.v1 Mercorelli, P. Model Predictive Control for a Recover Water Process. Preprints 2018, 2018100672. https://doi.org/10.20944/preprints201810.0672.v1
Abstract
The goal of this contribution is an application of the Linear General Model Predictive Control (LGMPC). In this paper, stability of the LGMPC is proven by means of a demonstration of a Theorem stating a sufficient and constructive condition. This condition can be applied for calculating the weight matrices of the cost function in the optimisation problem in LGMPC. Lower bounds conditions are found for one of these matrices and then a system with saturation is taken into consideration. The conditions could be interpreted and discussions through physical aspects. The obtained results were tested by means of computer simulations and an example with a recover water process is considered.
Keywords
linear model predictive control; process control; stability
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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