Desired Terminal State Concept in Model Predictive Control: A Case Study

The paper deals with an online optimization control method for dynamical processes called Model Predictive Control (MPC). It is a popular control method in industry and frequently treated in academic areas as well. The standard predictive controllers usually do not guarantee stability especially for...

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Main Authors: František Dušek, Daniel Honc
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2019/5208612
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author František Dušek
Daniel Honc
author_facet František Dušek
Daniel Honc
author_sort František Dušek
collection DOAJ
description The paper deals with an online optimization control method for dynamical processes called Model Predictive Control (MPC). It is a popular control method in industry and frequently treated in academic areas as well. The standard predictive controllers usually do not guarantee stability especially for the case of short horizons and large control error penalization. Terminal state is one way to ensure stability or at least increase the controller robustness. In the paper, deviation of the predicted terminal state from the desired terminal state is considered as one term of the cost function. Effect of the stability and control quality is demonstrated in the simulated experiments. The application area for online optimization methods is very broad including various logistics and transport problems. If the dynamics of the controlled processes cannot be neglected, the optimization problem must be solved not only for steady state but also for transient behaviour, e.g., by MPC.
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institution Kabale University
issn 1687-5249
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publishDate 2019-01-01
publisher Wiley
record_format Article
series Journal of Control Science and Engineering
spelling doaj-art-672c7889bcb548c7bd4b8e8de5a6d77e2025-08-20T03:35:01ZengWileyJournal of Control Science and Engineering1687-52491687-52572019-01-01201910.1155/2019/52086125208612Desired Terminal State Concept in Model Predictive Control: A Case StudyFrantišek Dušek0Daniel Honc1University of Pardubice, Pardubice 530 02, Czech RepublicUniversity of Pardubice, Pardubice 530 02, Czech RepublicThe paper deals with an online optimization control method for dynamical processes called Model Predictive Control (MPC). It is a popular control method in industry and frequently treated in academic areas as well. The standard predictive controllers usually do not guarantee stability especially for the case of short horizons and large control error penalization. Terminal state is one way to ensure stability or at least increase the controller robustness. In the paper, deviation of the predicted terminal state from the desired terminal state is considered as one term of the cost function. Effect of the stability and control quality is demonstrated in the simulated experiments. The application area for online optimization methods is very broad including various logistics and transport problems. If the dynamics of the controlled processes cannot be neglected, the optimization problem must be solved not only for steady state but also for transient behaviour, e.g., by MPC.http://dx.doi.org/10.1155/2019/5208612
spellingShingle František Dušek
Daniel Honc
Desired Terminal State Concept in Model Predictive Control: A Case Study
Journal of Control Science and Engineering
title Desired Terminal State Concept in Model Predictive Control: A Case Study
title_full Desired Terminal State Concept in Model Predictive Control: A Case Study
title_fullStr Desired Terminal State Concept in Model Predictive Control: A Case Study
title_full_unstemmed Desired Terminal State Concept in Model Predictive Control: A Case Study
title_short Desired Terminal State Concept in Model Predictive Control: A Case Study
title_sort desired terminal state concept in model predictive control a case study
url http://dx.doi.org/10.1155/2019/5208612
work_keys_str_mv AT frantisekdusek desiredterminalstateconceptinmodelpredictivecontrolacasestudy
AT danielhonc desiredterminalstateconceptinmodelpredictivecontrolacasestudy