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    2DOF multi-objective optimal tuning of disturbance reject fractional order PIDA controllers according to improved consensus oriented random search method
    (Elsevier, 2020) Ozbey, Necati; Yeroglu, Celaleddin; Alagoz, Baris Baykant; Herencsar, Norbert; Kartci, Aslihan; Sotner, Roman
    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.
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    Disturbance Rejection Effect of PIDA Controller Designed via SOS Algorithm
    (Ieee, 2018) Karadeniz, Esra; Ozbey, Necati; Yeroglu, Celaleddin; Kahraman, H. Tolga
    In this work, proportional-integral-derivative-acceleration (PIDA) controller is designed by using Symbiotic Organisms Search (SOS) algorithm and its robustness against the input disturbance is investigated. In the study, SOS algorithm and performance evaluation of control system are carried out by means of simulation models that are implemented in Matlab/Simulink environment. In this simulation environment, mean square error function of the system is minimized by SOS algorithm to tune PIDA controller coefficients. The PIDA controller is compared with a control system presented in literature and robustness of the PIDA against the disturbance are shown.
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    Investigation of PIDA Controller Parameters via PSO Algorithm
    (Ieee, 2018) Donuk, Kenan; Ozbey, Necati; Inan, Mevlut; Yeroglu, Celaleddin; Hanbay, Davut
    In this study, a method is proposed to determine the parameters of Proportional Integral Derivative Acceleration (PIDA) controller, which are used in the control of higher degree systems, via Particle Swarm Optimization (PSO) algorithm. Classic controller methods may sometimes be insufficient, especially in the control of higher degree systems. In PIDA controller design, heuristic optimization algorithms, which is one of the recommended methods for these systems, provides successful results. The performance of the PIDA controller obtained by the proposed method in the paper is compared with the gradient search and genetic algorithms in the literature. The unit step response and the frequency response of the controller show the effectiveness of the method.