Stiction-model-based re-tuning of PI controller for industrial process control loops

Control valve stiction is prevalent in the process industry, leading to oscillations in process variables and degrading unit performance. Stiction is usually repaired during scheduled plant maintenance, but until then, compensation methods are required to reduce oscillations. This study presents a n...

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Bibliographic Details
Main Authors: Masaharu Daiguji, Yoshiyuki Yamashita
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
Online Access:http://dx.doi.org/10.1080/18824889.2023.2295063
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author Masaharu Daiguji
Yoshiyuki Yamashita
author_facet Masaharu Daiguji
Yoshiyuki Yamashita
author_sort Masaharu Daiguji
collection DOAJ
description Control valve stiction is prevalent in the process industry, leading to oscillations in process variables and degrading unit performance. Stiction is usually repaired during scheduled plant maintenance, but until then, compensation methods are required to reduce oscillations. This study presents a novel approach to address this problem by identifying control valve and process models and optimizing control parameters. The method combines a stiction model, a process model, and a controller to achieve optimal control with stiction. Additionally, the method incorporates a controller output filter and considers undershooting during the step response for control performance assessment. The proposed method is designed to handle different types of valve stiction models, providing a versatile solution. The results show that our method significantly improves the control loop performance of all valves tested.
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spelling doaj.art-f9d7860eaf0c4cfbb4d4f8f709fd22072024-01-04T15:59:08ZengTaylor & Francis GroupSICE Journal of Control, Measurement, and System Integration1884-99702024-12-01171101810.1080/18824889.2023.22950632295063Stiction-model-based re-tuning of PI controller for industrial process control loopsMasaharu Daiguji0Yoshiyuki Yamashita1Tokyo University of Agriculture and TechnologyTokyo University of Agriculture and TechnologyControl valve stiction is prevalent in the process industry, leading to oscillations in process variables and degrading unit performance. Stiction is usually repaired during scheduled plant maintenance, but until then, compensation methods are required to reduce oscillations. This study presents a novel approach to address this problem by identifying control valve and process models and optimizing control parameters. The method combines a stiction model, a process model, and a controller to achieve optimal control with stiction. Additionally, the method incorporates a controller output filter and considers undershooting during the step response for control performance assessment. The proposed method is designed to handle different types of valve stiction models, providing a versatile solution. The results show that our method significantly improves the control loop performance of all valves tested.http://dx.doi.org/10.1080/18824889.2023.2295063optimizationcontrol valvespid controlprocess modelsprocess control
spellingShingle Masaharu Daiguji
Yoshiyuki Yamashita
Stiction-model-based re-tuning of PI controller for industrial process control loops
SICE Journal of Control, Measurement, and System Integration
optimization
control valves
pid control
process models
process control
title Stiction-model-based re-tuning of PI controller for industrial process control loops
title_full Stiction-model-based re-tuning of PI controller for industrial process control loops
title_fullStr Stiction-model-based re-tuning of PI controller for industrial process control loops
title_full_unstemmed Stiction-model-based re-tuning of PI controller for industrial process control loops
title_short Stiction-model-based re-tuning of PI controller for industrial process control loops
title_sort stiction model based re tuning of pi controller for industrial process control loops
topic optimization
control valves
pid control
process models
process control
url http://dx.doi.org/10.1080/18824889.2023.2295063
work_keys_str_mv AT masaharudaiguji stictionmodelbasedretuningofpicontrollerforindustrialprocesscontrolloops
AT yoshiyukiyamashita stictionmodelbasedretuningofpicontrollerforindustrialprocesscontrolloops