A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integra...

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Autores principales:	Jafar Tavoosi, Mohammadamin Shirkhani, Ali Abdali, Ardashir Mohammadzadeh, Mostafa Nazari, Saleh Mobayen, Jihad H. Asad, Andrzej Bartoszewicz
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	fuzzy systems machine learning model predictive control proportional-integral-derivative controller continuous stirred tank reactor self-tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/f07051c8b0ba4fa988e00c4a3de7c6e1
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spelling	oai:doaj.org-article:f07051c8b0ba4fa988e00c4a3de7c6e12021-11-11T15:23:57ZA New General Type-2 Fuzzy Predictive Scheme for PID Tuning10.3390/app1121103922076-3417https://doaj.org/article/f07051c8b0ba4fa988e00c4a3de7c6e12021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/10392https://doaj.org/toc/2076-3417The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.Jafar TavoosiMohammadamin ShirkhaniAli AbdaliArdashir MohammadzadehMostafa NazariSaleh MobayenJihad H. AsadAndrzej BartoszewiczMDPI AGarticlefuzzy systemsmachine learningmodel predictive controlproportional-integral-derivative controllercontinuous stirred tank reactorself-tuningTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10392, p 10392 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	fuzzy systems machine learning model predictive control proportional-integral-derivative controller continuous stirred tank reactor self-tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	fuzzy systems machine learning model predictive control proportional-integral-derivative controller continuous stirred tank reactor self-tuning Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Jafar Tavoosi Mohammadamin Shirkhani Ali Abdali Ardashir Mohammadzadeh Mostafa Nazari Saleh Mobayen Jihad H. Asad Andrzej Bartoszewicz A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
description	The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.
format	article
author	Jafar Tavoosi Mohammadamin Shirkhani Ali Abdali Ardashir Mohammadzadeh Mostafa Nazari Saleh Mobayen Jihad H. Asad Andrzej Bartoszewicz
author_facet	Jafar Tavoosi Mohammadamin Shirkhani Ali Abdali Ardashir Mohammadzadeh Mostafa Nazari Saleh Mobayen Jihad H. Asad Andrzej Bartoszewicz
author_sort	Jafar Tavoosi
title	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
title_short	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
title_full	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
title_fullStr	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
title_full_unstemmed	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
title_sort	new general type-2 fuzzy predictive scheme for pid tuning
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f07051c8b0ba4fa988e00c4a3de7c6e1
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A New General Type-2 Fuzzy Predictive Scheme for PID Tuning

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