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    A fractional fuzzy PI-PD based modified smith predictor for controlling of FOPDT process
    (IEEE Computer Society, 2017) Ozbek, Necdet Sinan; Eker, Ilyas
    In this study, a novel fractional fuzzy proportional-integral proportional-derivative (PI-PD) based modified Smith predictor (SP) is presented for controlling of an industrial air heating system with time delay. The performance of the proposed controller is validated with real-time experimental applications. Furthermore, a performance comparison is demonstrated via results of real-time applications through a set of performance indices. © 2016 IEEE.
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    A Fractional Fuzzy PI-PD Based Modified Smith Predictor for Controlling of FOPDT Process
    (IEEE, 2016) Ozbek, Necdet Sinan; Eker, Ilyas
    In this study, a novel fractional fuzzy proportional-integral proportional-derivative (PI-PD) based modified Smith predictor (SP) is presented for controlling of an industrial air heating system with time delay. The performance of the proposed controller is validated with real-time experimental applications. Furthermore, a performance comparison is demonstrated via results of real-time applications through a set of performance indices.
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    A novel interactive system identification and control toolbox dedicated to real-time identification and model reference adaptive control experiments
    (Institute of Electrical and Electronics Engineers Inc., 2016) Özbek, Necdet Sinan; Eker, Ilyas
    This paper proposes a control-oriented identification toolbox with a set of real-time interactive computer-aided experiments to analysis parametric system identification techniques and adaptive control concepts. The proposed experiments are highlighted through a user-friendly graphical user interface (GUI) which is developed in Matlab/Simulink® environment. The identification and control methods considered here include; process reaction curve method, off-line and on-line parameter identification and model reference adaptive control technique (MRAC); this aspect of the paper makes it a beneficial guide to a large number of readers. © 2015 Chamber of Electrical Engineers of Turkey.
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    A Novel Interactive System Identification and Control Toolbox Dedicated to Real-Time Identification and Model Reference Adaptive Control Experiments
    (IEEE, 2015) Ozbek, Necdet Sinan; Eker, Ilyas
    This paper proposes a control-oriented identification toolbox with a set of real-time interactive computer-aided experiments to analysis parametric system identification techniques and adaptive control concepts. The proposed experiments are highlighted through a user-friendly graphical user interface (GUI) which is developed in Matlab/Simulink (R) environment. The identification and control methods considered here include; process reaction curve method, off-line and on-line parameter identification and model reference adaptive control technique (MRAC); this aspect of the paper makes it a beneficial guide to a large number of readers.
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    A Novel Modified Delay-Based Control Algorithm with Experimental Application
    (Kaunas Univ Technology, 2019) Ozbek, Necdet S.; Eker, Ilyas
    In the present article, a new modified delay-based control structure is proposed to improve the closed-loop performance of control systems. The controller is designed for a second-order linear time-invariant system. The controller parameters are tuned by using the integral of the absolute error criterion. Theoretical results are simulated and experimentally applied to an electromechanical system, which is identified with an interactive system identification tool. It is shown that the present controller provides better control measures and time domain specifications compared with the classical PID and PI-PD controllers in the presence of measurement noise as well as uncertainties.
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    An Experimental Comparative Study of Modified Smith Predictor Based Fractional Order Controller Design Strategies for a Time Delay Process
    (IEEE, 2017) Ozbek, Necdet Sinan; Eker, Ilyas
    This paper presents real-time applications of various modified Smith Predictor (SP) based fractional order controller design strategies in control a time-delay thermal process. The elaborated methods and tuning strategies are selected carefully. A comprehensive performance evaluation is illustrated through a set of performance metrics. Further, complementary comments are highlighted on the advantages and drawbacks of each control scheme.
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    An experimental comparative study of modified Smith Predictor based fractional order controller design strategies for a time delay process
    (Institute of Electrical and Electronics Engineers Inc., 2017) Özbek, Necdet Sinan; Eker, Ilyas
    This paper presents real-time applications of various modified Smith Predictor (SP) based fractional order controller design strategies in control a time-delay thermal process. The elaborated methods and tuning strategies are selected carefully. A comprehensive performance evaluation is illustrated through a set of performance metrics. Further, complementary comments are highlighted on the advantages and drawbacks of each control scheme. © 2017 IEEE.
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    An Interactive Computer-Aided Instructional Strategy and Assessment Methods for System Identification and Adaptive Control Laboratory
    (IEEE-Inst Electrical Electronics Engineers Inc, 2015) Ozbek, Necdet Sinan; Eker, Ilyas
    This study describes a set of real-time interactive experiments that address system identification and model reference adaptive control (MRAC) techniques. In constructing laboratory experiments that contribute to efficient teaching, experimental design and instructional strategy are crucial, but a process for doing this has yet to be defined. This paper is an attempt towards filling this gap. Its contributions are: 1) to describe a sample set of experiments for both senior undergraduate-and graduate-level students, to strengthen their understanding of system identification and control; 2) to help instructors wishing to set up a laboratory with an interactive learning strategy; and 3) to propose a set of assessment criteria for engineering accreditation in system identification and control laboratories. A benefit of this paper for engineering educators is that it provides a roadmap for transferring complex theory problems into prototypes in the laboratory. Furthermore, the instructional strategies proposed can easily be adapted to other engineering courses.
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    Design of an optimal fractional fuzzy gain-scheduled Smith Predictor for a time-delay process with experimental application
    (Elsevier Science Inc, 2020) Ozbek, Necdet Sinan; Eker, Ilyas
    This study addresses an experimental investigation of a novel modified Smith Predictor (SP) based fractional fuzzy gain-scheduled control scheme in control of a time-delayed thermal process. The control strategy employees a fuzzy algorithm to adjust convenient controller parameters based on the system's operating conditions. Performance enhancement of the closed-loop system enables more robust behavior in the presence of disturbance while reducing energy consumption by producing a smooth control signal in comparison with the traditional integer order SP structures. The proposed controller comprises self-tuning capabilities at runtime which makes it adaptive in nature. The motivation of the present paper is in both points of theory and experimental application. The theoretical contribution is to propose a new Smith Predictor based fractional order fuzzy dead-time compensation scheme that can handle uncertainties, parameter variations, and internal external disturbances. The practical contribution is to apply the proposed control scheme to a real-time air-heating process. The performances of the elaborated control strategies are investigated in both computer simulation and experimental application under different operating conditions. The proposed fractional fuzzy control scheme is found superior to the classical PI-PD SP and integer fuzzy controllers for temperature profile tracking tasks. Moreover, complementary comments are highlighted on the advantages and drawbacks of each controller. (C) 2019 ISA. Published by Elsevier Ltd. All rights reserved.
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    Design, Analysis and Experimental Application of a Fractional Sliding Mode Control for a Benchmark Process
    (IEEE, 2019) Ozbek, Necdet Sinan; Eker, Ilyas
    This study investigates the design and real-time application of fractional order sliding mode control (FOSMC) for an industrial air heating process. The closed-loop stability of the system is analysed with Lyapunov theorem. The compensation results of the modelled system are investigated under a sinusoidal tracking reference temperature profile. The physical limitations of the real system are taken into account through experimental applications. Further, the performance evaluation is tabulated with a number of quantitative measures.
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    Experimental evaluation of various modified Smith predictor-based fractional order control design strategies in control of a thermal process with time delay
    (Inderscience Enterprises Ltd, 2019) Ozbek, Necdet Sinan; Eker, Ilyas
    In this study, a number of modified Smith predictor (SP)-based fractional order control strategies are investigated experimentally on a thermal process. Controller design methods and tuning strategies are elaborated step by step. Further, control strategies are discussed in relation to design specifications, control cost, implementation issues, and operating modes encountered in practice. Performance comparison is presented via several illustrations and numerical measures. Particular attention is paid to the tracking precision, quality of the control signal, robustness against disturbances and energy efficiency. Complementary comments are addressed based on merits and demerits of the each control technique.
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    Investigation of time-delayed controller design strategies for an electromechanical system
    (Institute of Electrical and Electronics Engineers Inc., 2017) Özbek, Necdet Sinan; Eker, Ilyas
    This paper presents a set of time-delayed controller techniques for an electromechanical system. The design specifications and analytical tuning methods of the controller are highlighted with related literature review. Furthermore, applications and performance evaluation of controllers are presented. © 2017 IEEE.
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    Investigation of Time-Delayed Controller Design Strategies for an Electromechanical System
    (IEEE, 2017) Ozbek, Necdet Sinan; Eker, Ilyas
    This paper presents a set of time-delayed controller techniques for an electromechanical system. The design specifications and analytical tuning methods of the controller are highlighted with related literature review. Furthermore, applications and performance evaluation of controllers are presented.