Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops

Decentralized proportional-integral-derivative (PID) control systems are widely used for multiple-input multiple-output (MIMO) control problems. However, decentralized controllers cannot suppress the plant interactions in multivariable systems, which are addressed in the controller tuning phase. In...

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Autores principales: Thiago A. M. Euzebio, Moises T. Da Silva, Andre S. Yamashita
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/31ab255be1924145877a33bb38d7f8cd
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spelling oai:doaj.org-article:31ab255be1924145877a33bb38d7f8cd2021-12-02T00:00:35ZDecentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops2169-353610.1109/ACCESS.2021.3127795https://doaj.org/article/31ab255be1924145877a33bb38d7f8cd2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9612175/https://doaj.org/toc/2169-3536Decentralized proportional-integral-derivative (PID) control systems are widely used for multiple-input multiple-output (MIMO) control problems. However, decentralized controllers cannot suppress the plant interactions in multivariable systems, which are addressed in the controller tuning phase. In this paper, a decentralized PID tuning method is proposed in order to minimize the undesirable effects of the coupling between the inputs and outputs of the closed-loop system. For this purpose, the PID parameter tuning method solves a nonlinear optimization problem. This optimization problem is formulated with the criteria of the performance, robustness and multivariable stability of the closed-loop system. A single design parameter is required to specify the trade-off between performance and robustness. Simulation studies are conducted to demonstrate the effectiveness of the proposed method. The performance is compared to that of alternative tuning techniques from the literature. Results show that the proposed approach is a feasible candidate for industrial application, as it is simple to implement and capable of addressing robustness and stability concerns of plant operators.Thiago A. M. EuzebioMoises T. Da SilvaAndre S. YamashitaIEEEarticleDecentralized controllermultivariable processesoptimizationPID tuningElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 156857-156867 (2021)
institution DOAJ
collection DOAJ
language EN
topic Decentralized controller
multivariable processes
optimization
PID tuning
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Decentralized controller
multivariable processes
optimization
PID tuning
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Thiago A. M. Euzebio
Moises T. Da Silva
Andre S. Yamashita
Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
description Decentralized proportional-integral-derivative (PID) control systems are widely used for multiple-input multiple-output (MIMO) control problems. However, decentralized controllers cannot suppress the plant interactions in multivariable systems, which are addressed in the controller tuning phase. In this paper, a decentralized PID tuning method is proposed in order to minimize the undesirable effects of the coupling between the inputs and outputs of the closed-loop system. For this purpose, the PID parameter tuning method solves a nonlinear optimization problem. This optimization problem is formulated with the criteria of the performance, robustness and multivariable stability of the closed-loop system. A single design parameter is required to specify the trade-off between performance and robustness. Simulation studies are conducted to demonstrate the effectiveness of the proposed method. The performance is compared to that of alternative tuning techniques from the literature. Results show that the proposed approach is a feasible candidate for industrial application, as it is simple to implement and capable of addressing robustness and stability concerns of plant operators.
format article
author Thiago A. M. Euzebio
Moises T. Da Silva
Andre S. Yamashita
author_facet Thiago A. M. Euzebio
Moises T. Da Silva
Andre S. Yamashita
author_sort Thiago A. M. Euzebio
title Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
title_short Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
title_full Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
title_fullStr Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
title_full_unstemmed Decentralized PID Controller Tuning Based on Nonlinear Optimization to Minimize the Disturbance Effects in Coupled Loops
title_sort decentralized pid controller tuning based on nonlinear optimization to minimize the disturbance effects in coupled loops
publisher IEEE
publishDate 2021
url https://doaj.org/article/31ab255be1924145877a33bb38d7f8cd
work_keys_str_mv AT thiagoameuzebio decentralizedpidcontrollertuningbasedonnonlinearoptimizationtominimizethedisturbanceeffectsincoupledloops
AT moisestdasilva decentralizedpidcontrollertuningbasedonnonlinearoptimizationtominimizethedisturbanceeffectsincoupledloops
AT andresyamashita decentralizedpidcontrollertuningbasedonnonlinearoptimizationtominimizethedisturbanceeffectsincoupledloops
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