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    Comparison of Model Predictive Torque Control Based NPC and ANPC Inverters for IM Drive
    (IEEE, 2023) Kabalci, Ersan; Kabalci, Yasin; Boyar, Aydin
    An induction motor (IM), which is one of the ac electric motors, is commonly preferred in industrial applications. The IM has a simple structure, low maintenance, and is inexpensive. Inverter topologies are widely used in IM drives. Studies on the IM drive with multilevel inverter topologies, which have benefits such as higher efficiency, lower harmonic ratio, and reduced filter size are increasing day by day compared to two-level inverter topologies. In this study, various analyzes of a neutral point clamped (NPC) inverter and an active neutral point clamped (ANPC) inverter topologies for model predictive torque control (MPTC) based IM drive have been carried out under the same conditions. Firstly, the proposed IM drives have been modeled with MATLAB/Simulink, and then, their implementations have been carried out. The modeling and implementation analyses validate the effectiveness of the proposed MPTC-based IM drives in terms of flux and torque responses, as well as speed control. They have been deeply analyzed under variable load and speed conditions, and compared in terms of efficiency and total harmonic distortion (THD).
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    Design and Analysis of a Micro Inverter for PV Plants
    (IEEE, 2017) Kabalci, Ersan; Boyar, Aydin; Kabalci, Yasin
    Renewable energy sources are obviously accepted as clean energy sources of future. The solar energy is the most popular among other renewable energy sources in all over the world. Many studies are performed on photovoltaics (PVs) and solar energy systems. Inverter is the most important power converter section of photovoltaic systems in terms of efficiency in changing weather conditions. This study presents the design and analysis of a micro inverter for PV systems. The proposed micro inverter is designed by using MATLAB Simulink software, and the control algorithms are implemented according to Incremental Conductance method. It consists of isolated boost converter with Maximum Power Point Tracking (MPPT) and H-bridge inverter with PI controller. The reaction of system has been observed under changing irradiation conditions. The implemented micro inverter has compensated the irradiation changes at boost converter stage, and dc-ac conversion process is performed regarding to the designed PI controller. The dc bus voltage is increased to around 300V, and the HF transformer is used to increase inverter input voltage to 420V. The output of inverter is generated with the support of PI controller to track 220Vrms line voltage. The THD rates for both voltage and current are measured at 0.51% in FFT spectrum, and the overall power of the micro inverter is supplied around 315W.
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    Design and analysis of a micro inverter for PV plants
    (Institute of Electrical and Electronics Engineers Inc., 2017) Kabalci, Ersan; Boyar, Aydin; Kabalci, Yasin
    Renewable energy sources are obviously accepted as clean energy sources of future. The solar energy is the most popular among other renewable energy sources in all over the world. Many studies are performed on photovoltaics (PVs) and solar energy systems. Inverter is the most important power converter section of photovoltaic systems in terms of efficiency in changing weather conditions. This study presents the design and analysis of a micro inverter for PV systems. The proposed micro inverter is designed by using MATLAB Simulink software, and the control algorithms are implemented according to Incremental Conductance method. It consists of isolated boost converter with Maximum Power Point Tracking (MPPT) and H-bridge inverter with PI controller. The reaction of system has been observed under changing irradiation conditions. The implemented micro inverter has compensated the irradiation changes at boost converter stage, and dcac conversion process is performed regarding to the designed PI controller. The dc bus voltage is increased to around 300V, and the HF transformer is used to increase inverter input voltage to 420V. The output of inverter is generated with the support of PI controller to track 220Vrms line voltage. The THD rates for both voltage and current are measured at 0.51% in FFT spectrum, and the overall power of the micro inverter is supplied around 315W. ©2017 IEEE.
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    Model Predictive Torque Control-Based Induction Motor Drive with Remote Control and Monitoring Interface for Electric Vehicles
    (Taylor & Francis Inc, 2023) Boyar, Aydin; Kabalci, Ersan; Kabalci, Yasin
    While the increased use of internal combustion engine vehicles raises carbon emissions, electric vehicles (EVs) are becoming more important for reducing air pollution. EV production costs are decreasing as technology advances since they are typically powered by alternating current induction machines (ACIM). In EV configurations that are propelled with ACIM, an inverter is required to obtain appropriate voltage levels to drive the IM. Multilevel inverters are widely preferred in the industry for DC-AC voltage conversion due to their high-power quality. In this study, the ACIM is supplied with the appropriate voltage using an active neutral point clamped (ANPC) inverter. The ANPC inverter acting as ACIM driver is controlled with model predictive torque control. The simulation of the proposed ACIM drive has been performed with torque and speed control features to determine the operational features of the experimental test bench. Furthermore, the designed ACIM drive includes remote control and monitoring functions via an Internet of Things-based module. This allows for instant monitoring of the input, output, and current values of the ANPC inverter. The graphical monitoring function is used to track the speed and torque values of ACIM while the speed can be changed remotely via the web interface.
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    MRAS Based Model Predictive Torque Control of Induction Motor Drive for Electric Vehicles
    (IEEE, 2022) Boyar, Aydin; Kabalci, Ersan; Kabalci, Yasin
    The number of fossil fuel vehicles is increasing day by day in the world. Studies on the EVs having zero emissions enhance, since fossil fuel vehicles cause environmental pollution. The converter and inverter topologies are used in the structure of EVs according to motor types. An inverter circuit is needed to convert the dc voltage obtained from the batteries to ac voltage. The inverter affects performance of the electric motor used in EVs. Three phase three level active neutral point clamping (ANPC) inverter topology is one of the multilevel inverter topologies is preferred in this study since it has high power quality. The induction motor, which has simple structure and low cost maintenance, is widely used in the EVs. In this study, speed sensorless induction motor drive has been modelled for EVs. The required switching pulses for ANPC inverter are obtained by the developed model predictive controller (MPC) for torque control of induction motor. The speed value of induction motor required for MPC has been obtained by the model reference adaptive system (MRAS) method. The proposed induction motor drive for EVs has been analyzed under variable speed and torque values.
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    Sensorless speed controller of an induction motor with MRAS-based model predictive control
    (Pergamon-Elsevier Science Ltd, 2024) Boyar, Aydin; Kabalci, Ersan; Kabalci, Yasin
    Speed sensors play critical role in induction motor (IM) control systems. However, the use of these sensors cause several drawbacks such as increasing the overall cost, decreased reliability on control and increased noise problems in data acquisition. The sensorless control methods also have been proposed in control systems of IM to increase the overall performance. On the other hand, model predictive controllers (MPCs) which is one of the most recently used controller methods require the speed measurement to perform speed and torque control of an IM. In addition to control method, the topology of voltage source inverter (VSI) affects the overall efficiency of the IM drive because of its losses and total harmonic distortion (THD) ratios delivered by the topology. The main proposal of this study is to implement an IM drive built with a threelevel active neutral point clamped (3L-ANPC) voltage source inverter (VSI) and to propose an MPC that eliminates sensor requirement in speed control of IM. The proposed IM drive takes benefits of multilevel inverter topology, which reduces the torque ripple, enables low switching frequency and provides decreased harmonic distortion. The switching pulses of ANPC VSI are generated by the proposed sensorless MPC method for controlling the torque of IM. The modelling and experimental verification of the ANPC based IM drive have been carried out and the sensorless MPC controller has been validated in this study. There two types of model reference adaptive system (MRAS) have been proposed to ensure precise estimation of IM speed that should be supplied to MPC controller. These MRAS methods are titled as the rotor flux based model reference adaptive system (MRASF), and the stator current based model reference adaptive system (MRASCC) according to estimation references. The proposed MPC-based IM drive has been analyzed under variable speed and torque circumstances to detect the efficiency and reliability of MRASF and MRASCC algorithms. The efficiency indicators such as flux and torque responses, and speed control of the suggested MPC IM drive are validated with experimental analysis. The results of revealed that the IM effectively tracks the reference speed and produces the required torque depending to the precise control of proposed MPC algorithm.