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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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    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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    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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    Model Investigation of Nonlinear Dynamical Systems by Sparse Identification
    (2020) Kadah, Nezir; Özbek, Necdet Sinan
    The sparse identification of nonlinear dynamics (SINDy), which is based on the sparse regression techniques to identify the nonlinear systems, is one of the recent data-driven model identification methods. The model equations of the system are extracted from the data. Although sufficient data is available from most of the engineering, healthcare, and economic sciences, there are few well-defined models to represent the system behaviour that can also be estimated from data-driven methods. With this motivation in mind, this study presents offline data-driven identification techniques to build the mathematical model of nonlinear systems. The data-based sparse identification of nonlinear systems is elaborated with a number of examples. The performance of the identification procedure is discussed in terms of quantitative metrics in the presence of noisy measurements.
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    Noise and Disturbance Rejection Performance Evaluation on Explicit Model Predictive Control Technique Applied to Inverted Pendulum with Various Test Scenarios
    (2022) Ozgur, Huseyin Emre; Özbek, Necdet Sinan; Sarıgeçili, Mehmet İlteriş
    An inverted pendulum on a cart (IPC) system, which is a widely used test environment for controller design due to ease of applicability, has the opportunity to be applied in different fields with nonlinear and under-actuated characteristics. In this study, the performance of the explicit MPC control method has been examined against the noise and disturbances by using two test cases and analysis approaches. Different trajectory tracking, disturbance, and noise situations have been taken into account in the elaborated scenarios. The numerical applications have been performed by the model predictive control toolbox of Matlab®/Simulink®. The advantages and drawbacks of the controller have been discussed in terms of time-domain specifications.
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    Performance Evaluation of Brushless Direct Current Motor Control Methods through Low-Cost Microcontroller-Based Real-Time Experiments
    (2023) Yorat, Emre; Özbek, Necdet Sinan; Sarıbulut, Lütfü
    Brushless direct current (BLDC) motors are high efficiency synchronous motors that are employed in a variety of applications due to prominent features such as long operational life, low maintenance requirements, and great dynamic response. BLDC motors are driven by energizing the stator windings with an inverter circuit. To commutate the inverter switches, the trapezoidal (120°) method is generally used by considering the back electromagnetic force induced on unenergized phase of BLDC. Furthermore, depending on the application requirements, alternative commutation modes (CM) such as 180°, 150°, and sinusoidal-based approaches are utilized. In the literature, the performance comparison of some CMs was studied for two-phase on operation and three-phase on operation mode by considering the switching patterns. However, only a few research assessed the performance of two or three commutation modes simultaneously. In this study, the performance comparison of pulse width modulation (PWM) based commutation modes are examined by considering 120°, 180°, 150° modes, and sinusoidal PWM. In this scope, it is the first time that direct digital synthesis (DDS) is addressed as a BLDC control algorithm in a performance comparison study. In experimental studies, a simple and a low-cost drive circuit is designed to acquire the case results. According to the results, the proposed DDS-based sine commutation method is more efficient than other commutation methods and it has lower power consumption at both low and high speeds also a wider operable speed range than other applied methods.
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    Practical Evaluation and Performance Comparison of Data Driven and Model Based Control Techniques for an Electromechanical System with Uncertainties
    (Institute of Electrical and Electronics Engineers Inc., 2024) Eker, Deha; Özbek, Necdet Sinan
    This paper addresses a design guide and real-time implementation of Linear Active Disturbance Rejection Control (LADRC) based control strategy for achieving high precision servo control performance. A number of essential concerns related to Active Disturbance Rejection Control (ADRC) implementations are experimentally investigated, such as design procedure, parameter adjustment, structural alterations, and real-time realization. The applicability of LADRC is validated for an electromechanical system comprising uncertainties and disturbances. The reduced-order approximated model of the system is obtained experimentally. The proposed controller can handle the problem in control parameter adjustment and accomplish enhanced control response. In terms of Maximum Absolute Error (MAE) which is 12.68 RPM for 1200 RPM reference and variance of control input which is 0.49 V for 4.48 V, LADRC algorithm for the electromechanical system is more suitable than Sliding Mode Control (SMC) and Proportion Integral Derivative (PID) control methodologies. The study shows that LADRC provides an efficient way of operation because it is possible to get less amount of MAE with less amount of control signal amplitude. ©2024 IEEE.