Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID

In this research, a control mechanism for fuzzy fractional-order proportional integral derivatives was suggested (FFOPID). The fractional calculus application has been used in different fields of engineering and science and showed to be improved in the past few years. However, there are few studies...

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Main Author: Mujahed Al-Dhaifallah
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/14/6832
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author Mujahed Al-Dhaifallah
author_facet Mujahed Al-Dhaifallah
author_sort Mujahed Al-Dhaifallah
collection DOAJ
description In this research, a control mechanism for fuzzy fractional-order proportional integral derivatives was suggested (FFOPID). The fractional calculus application has been used in different fields of engineering and science and showed to be improved in the past few years. However, there are few studies on the implementation of the fuzzy fractional-order controller for control in real time. Therefore, for an experimental pressure control model, a fractional order PID controller with intelligent fuzzy tuning was constructed and its results were calculated through simulation. To highlight proposed control scheme advantages, the performances of the controller were inspected under load disturbances and variations in set-point conditions. Furthermore, with classical PID control schemes and fractional order proportional integral derivative (FOPID), a comparative study was made. It is revealed from the results that the suggested control scheme outclasses other categories of the control schemes.
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spelling doaj.art-75b85a50dae744b2ac5333b9cbe30c082023-12-03T14:34:40ZengMDPI AGApplied Sciences2076-34172022-07-011214683210.3390/app12146832Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PIDMujahed Al-Dhaifallah0Control and Instrumentation Engineering Department, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi ArabiaIn this research, a control mechanism for fuzzy fractional-order proportional integral derivatives was suggested (FFOPID). The fractional calculus application has been used in different fields of engineering and science and showed to be improved in the past few years. However, there are few studies on the implementation of the fuzzy fractional-order controller for control in real time. Therefore, for an experimental pressure control model, a fractional order PID controller with intelligent fuzzy tuning was constructed and its results were calculated through simulation. To highlight proposed control scheme advantages, the performances of the controller were inspected under load disturbances and variations in set-point conditions. Furthermore, with classical PID control schemes and fractional order proportional integral derivative (FOPID), a comparative study was made. It is revealed from the results that the suggested control scheme outclasses other categories of the control schemes.https://www.mdpi.com/2076-3417/12/14/6832fractional-order controlpressure controlPID controllerpressure system identificationfuzzy logic control
spellingShingle Mujahed Al-Dhaifallah
Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
Applied Sciences
fractional-order control
pressure control
PID controller
pressure system identification
fuzzy logic control
title Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
title_full Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
title_fullStr Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
title_full_unstemmed Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
title_short Construction and Evaluation of a Control Mechanism for Fuzzy Fractional-Order PID
title_sort construction and evaluation of a control mechanism for fuzzy fractional order pid
topic fractional-order control
pressure control
PID controller
pressure system identification
fuzzy logic control
url https://www.mdpi.com/2076-3417/12/14/6832
work_keys_str_mv AT mujahedaldhaifallah constructionandevaluationofacontrolmechanismforfuzzyfractionalorderpid