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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2021
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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) |
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Decentralized controller multivariable processes optimization PID tuning Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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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 |
_version_ |
1718403975703691264 |