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...
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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 |
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