2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method

This study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance. The proposed controller tuning method performs a multi-objective optimal fine-tuning strategy that implements a...

Full description

Bibliographic Details
Main Authors: Necati Ozbey, Celaleddin Yeroglu, Baris Baykant Alagoz, Norbert Herencsar, Aslihan Kartci, Roman Sotner
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Journal of Advanced Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2090123220300576
id doaj-29e45a3da0bd4b1bbc849aa54bc3d473
record_format Article
spelling doaj-29e45a3da0bd4b1bbc849aa54bc3d4732020-11-25T03:57:35ZengElsevierJournal of Advanced Research2090-12322020-09-01251591702DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search methodNecati Ozbey0Celaleddin Yeroglu1Baris Baykant Alagoz2Norbert Herencsar3Aslihan Kartci4Roman Sotner5Inonu University, Faculty of Engineering, Department of Computer Engineering, Malatya, TurkeyInonu University, Faculty of Engineering, Department of Computer Engineering, Malatya, Turkey; Corresponding author.Inonu University, Faculty of Engineering, Department of Computer Engineering, Malatya, TurkeyBrno University of Technology, Faculty of Electrical Engineering and Communication, Department of Telecommunications, Brno, Czech RepublicBrno University of Technology, Faculty of Electrical Engineering and Communication, Department of Telecommunications, Brno, Czech RepublicBrno University of Technology, Faculty of Electrical Engineering and Communication, Department of Telecommunications, Brno, Czech RepublicThis study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance. The proposed controller tuning method performs a multi-objective optimal fine-tuning strategy that implements a Consensus Oriented Random Search (CORS) algorithm to evaluate transient simulation results of a set point filter type Two Degree of Freedom (2DOF) FOPIDA control system. Contributions of this study have three folds: Firstly, it addresses tuning problem of FOPIDA controllers for first order time delay systems. Secondly, the study aims fine-tuning of 2DOF FOPIDA control structure for improved set point and disturbance rejection control according to transient simulations of implementation models. This enhances practical performance of theoretical tuning method according to implementation requirements. Thirdly, the paper presents a hybrid controller tuning methodology that increases effectiveness of the CORS algorithm by using stabilizing controller coefficients as an initial configuration. Accordingly, the CORS algorithm performs the fine-tuning of 2DOF FOPIDA controllers to achieve an improved set point and disturbance rejection control performances. This fine-tuning is carried out by considering transient simulation results of 2DOF FOPIDA controller implementation model. Moreover, Reference to Disturbance Ratio (RDR) formulation of the FOPIDA controller is derived and used for measurement of disturbance rejection control performance. Illustrative design examples are presented to demonstrate effectiveness of the proposed method.http://www.sciencedirect.com/science/article/pii/S2090123220300576Fractional order control2DOF controller designDisturbance rejectionReference to disturbance ratioRandom search algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Necati Ozbey
Celaleddin Yeroglu
Baris Baykant Alagoz
Norbert Herencsar
Aslihan Kartci
Roman Sotner
spellingShingle Necati Ozbey
Celaleddin Yeroglu
Baris Baykant Alagoz
Norbert Herencsar
Aslihan Kartci
Roman Sotner
2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
Journal of Advanced Research
Fractional order control
2DOF controller design
Disturbance rejection
Reference to disturbance ratio
Random search algorithm
author_facet Necati Ozbey
Celaleddin Yeroglu
Baris Baykant Alagoz
Norbert Herencsar
Aslihan Kartci
Roman Sotner
author_sort Necati Ozbey
title 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
title_short 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
title_full 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
title_fullStr 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
title_full_unstemmed 2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
title_sort 2dof multi-objective optimal tuning of disturbance reject fractional order pida controllers according to improved consensus oriented random search method
publisher Elsevier
series Journal of Advanced Research
issn 2090-1232
publishDate 2020-09-01
description This study presents a Fractional Order Proportional Integral Derivative Acceleration (FOPIDA) controller design methodology to improve set point and disturbance reject control performance. The proposed controller tuning method performs a multi-objective optimal fine-tuning strategy that implements a Consensus Oriented Random Search (CORS) algorithm to evaluate transient simulation results of a set point filter type Two Degree of Freedom (2DOF) FOPIDA control system. Contributions of this study have three folds: Firstly, it addresses tuning problem of FOPIDA controllers for first order time delay systems. Secondly, the study aims fine-tuning of 2DOF FOPIDA control structure for improved set point and disturbance rejection control according to transient simulations of implementation models. This enhances practical performance of theoretical tuning method according to implementation requirements. Thirdly, the paper presents a hybrid controller tuning methodology that increases effectiveness of the CORS algorithm by using stabilizing controller coefficients as an initial configuration. Accordingly, the CORS algorithm performs the fine-tuning of 2DOF FOPIDA controllers to achieve an improved set point and disturbance rejection control performances. This fine-tuning is carried out by considering transient simulation results of 2DOF FOPIDA controller implementation model. Moreover, Reference to Disturbance Ratio (RDR) formulation of the FOPIDA controller is derived and used for measurement of disturbance rejection control performance. Illustrative design examples are presented to demonstrate effectiveness of the proposed method.
topic Fractional order control
2DOF controller design
Disturbance rejection
Reference to disturbance ratio
Random search algorithm
url http://www.sciencedirect.com/science/article/pii/S2090123220300576
work_keys_str_mv AT necatiozbey 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
AT celaleddinyeroglu 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
AT barisbaykantalagoz 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
AT norbertherencsar 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
AT aslihankartci 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
AT romansotner 2dofmultiobjectiveoptimaltuningofdisturbancerejectfractionalorderpidacontrollersaccordingtoimprovedconsensusorientedrandomsearchmethod
_version_ 1724460023307829248