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Robust fractional-order auto-tuning for highly-coupled MIMO systems

Many processes in industry are highly-coupled Multiple-Input Multiple-Output (MIMO) systems. In this paper, a methodology, based on the Kissing Circle (KC) tuning method, is proposed to tune a fractional-order PI controller for these types of systems. The KC method relies on frequency domain specifi...

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Autores principales: Juchem, Jasper, Muresan, Cristina, De Keyser, Robain, Ionescu, Clara-Mihaela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675949/
https://www.ncbi.nlm.nih.gov/pubmed/31388585
http://dx.doi.org/10.1016/j.heliyon.2019.e02154
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author Juchem, Jasper
Muresan, Cristina
De Keyser, Robain
Ionescu, Clara-Mihaela
author_facet Juchem, Jasper
Muresan, Cristina
De Keyser, Robain
Ionescu, Clara-Mihaela
author_sort Juchem, Jasper
collection PubMed
description Many processes in industry are highly-coupled Multiple-Input Multiple-Output (MIMO) systems. In this paper, a methodology, based on the Kissing Circle (KC) tuning method, is proposed to tune a fractional-order PI controller for these types of systems. The KC method relies on frequency domain specifications and emphasizes improving robustness. The method does not require a model, a single sine test suffices to obtain the controller parameters. Hence, the method can be categorized as an auto-tuner. For comparison, an integer-order PI is tuned with the same requirements. To evaluate and analyze the performance of both controllers an experimental test bench is used, i.e. a landscape office lighting system. A direct low-order discretization method is used to implement the controller in a real process. Both controllers are subjected to simulation experiments to test the performance in time and frequency domain and they are subjected to process variations to evaluate their robustness. The fractional controller manages to control a process that is susceptible to 85% variation in time constant mismatch as opposed to 79% for the integer-order controller. An Integer Absolute Error evaluation of experimental results show that the fractional-order PI controller and integer-order PI controller have similar control performance, as expected from the frequency domain analysis. As model uncertainty can add up in MIMO systems, improved robustness is crucial and with this methodology the control performance does not deteriorate. Moreover, a decrease in power consumption of 6% is observed.
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spelling pubmed-66759492019-08-06 Robust fractional-order auto-tuning for highly-coupled MIMO systems Juchem, Jasper Muresan, Cristina De Keyser, Robain Ionescu, Clara-Mihaela Heliyon Article Many processes in industry are highly-coupled Multiple-Input Multiple-Output (MIMO) systems. In this paper, a methodology, based on the Kissing Circle (KC) tuning method, is proposed to tune a fractional-order PI controller for these types of systems. The KC method relies on frequency domain specifications and emphasizes improving robustness. The method does not require a model, a single sine test suffices to obtain the controller parameters. Hence, the method can be categorized as an auto-tuner. For comparison, an integer-order PI is tuned with the same requirements. To evaluate and analyze the performance of both controllers an experimental test bench is used, i.e. a landscape office lighting system. A direct low-order discretization method is used to implement the controller in a real process. Both controllers are subjected to simulation experiments to test the performance in time and frequency domain and they are subjected to process variations to evaluate their robustness. The fractional controller manages to control a process that is susceptible to 85% variation in time constant mismatch as opposed to 79% for the integer-order controller. An Integer Absolute Error evaluation of experimental results show that the fractional-order PI controller and integer-order PI controller have similar control performance, as expected from the frequency domain analysis. As model uncertainty can add up in MIMO systems, improved robustness is crucial and with this methodology the control performance does not deteriorate. Moreover, a decrease in power consumption of 6% is observed. Elsevier 2019-07-30 /pmc/articles/PMC6675949/ /pubmed/31388585 http://dx.doi.org/10.1016/j.heliyon.2019.e02154 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Juchem, Jasper
Muresan, Cristina
De Keyser, Robain
Ionescu, Clara-Mihaela
Robust fractional-order auto-tuning for highly-coupled MIMO systems
title Robust fractional-order auto-tuning for highly-coupled MIMO systems
title_full Robust fractional-order auto-tuning for highly-coupled MIMO systems
title_fullStr Robust fractional-order auto-tuning for highly-coupled MIMO systems
title_full_unstemmed Robust fractional-order auto-tuning for highly-coupled MIMO systems
title_short Robust fractional-order auto-tuning for highly-coupled MIMO systems
title_sort robust fractional-order auto-tuning for highly-coupled mimo systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6675949/
https://www.ncbi.nlm.nih.gov/pubmed/31388585
http://dx.doi.org/10.1016/j.heliyon.2019.e02154
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