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2DOF multi-objective optimal tuning of disturbance reject fractional

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dc.contributor.author Ozbey, N
dc.contributor.author Yeroglu, C
dc.contributor.author Alagoz, BB
dc.contributor.author Herencsar, N
dc.contributor.author Kartci, A
dc.contributor.author Sotner, R
dc.date.accessioned 2022-09-21T07:15:10Z
dc.date.available 2022-09-21T07:15:10Z
dc.date.issued 2020
dc.identifier.uri http://hdl.handle.net/11616/61454
dc.description.abstract 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. (C) 2020 The Authors. Published by Elsevier B.V. on behalf of Cairo University.
dc.description.abstract C1 [Ozbey, Necati; Yeroglu, Celaleddin; Alagoz, Baris Baykant] Inonu Univ, Dept Comp Engn, Fac Engn, Malatya, Turkey.
dc.description.abstract [Herencsar, Norbert; Kartci, Aslihan; Sotner, Roman] Brno Univ Technol, Fac Elect Engn & Commun, Dept Telecommun, Brno, Czech Republic.
dc.source JOURNAL OF ADVANCED RESEARCH
dc.title 2DOF multi-objective optimal tuning of disturbance reject fractional
dc.title order PIDA controllers according to improved consensus oriented random
dc.title search method


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