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MAKHAMREH, Hamza Ahmed Mousa

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Hamza Ahmed Mousa

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Now showing 1 - 6 of 6
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    Multi-objective control of nine-level anpc converters: a robust and gain-free mpc method
    (IEEE, 2023) Harbi, İ.; Makhamreh, Hamza; Ahmed, Mostafa; Abdelrahem, M.; Heldwein, M.; Rodriguez, J.; Kennel, R.; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa
    Model predictive control (MPC) is a powerful control method for addressing multi-objective control problems, however, one of its main challenges is the cumbersome tuning process of the weighting factors. This paper presents a weighting factorless advanced MPC method for a recently developed nine-level active neutral point clamped (ANPC) converter, which has several advantages over conventional and recent nine-level topologies, such as low number of used switches and flying capacitors (FCs), reduced voltage rating of FCs and high efficiency. The developed MPC method avoids the use of weighting factors while addressing three control objectives: current control, FCs balancing and neutral point (NP) control. Similar to conventional finite-set MPC (FS-MPC), the presented method has high performance in terms of all control objectives. Moreover, this method exhibits enhanced robustness to parameter mismatch compared to the conventional scheme. The effectiveness of this method is validated through experimental testing under various operating conditions. The research demonstrates the potential for this technique to address control problems in ANPC-based converters and highlights its potential for further applications.
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    Lyapunov-based model predictive control for stable operation of a 9-level crossover switches cell inverter in grid connection mode
    (IEEE, 2023) Trabelsi, M.; Makhamreh, Hamza; Alquennah, A. N.; Vahedi, H.; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa
    This study proposes the application of a Lyapunov-based Model Predictive Control (L-MPC) approach to a 9-level Crossover Switches Cell (CSC9) converter operating in grid connection mode. The proposed method utilizes the structure of the classical finite-control-set MPC (FCS-MPC) technique while integrating a cost function that requires no tuning. By deriving the cost function based on Lyapunov theory, the system stability is ensured. Notably, the suggested approach offers several advantages over traditional MPC controllers. Firstly, it eliminates the need for gain tuning, thereby simplifying the implementation process. Secondly, the proposed controller prioritizes stability as a key design aspect. The presented simulation results prove that the proposed controller effectively regulates the voltage of the DC capacitor around its desired value and feed a smooth sinusoidal current to the grid with low total harmonic distortion (THD) while operating at a unity power factor.
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    Model-predictive control of multilevel inverters: challenges, recent advances, and trends
    (IEEE, 2023-09) Harbi, I.; Rodriguez, J.; Liegmann, E.; Makhamreh, Hamza; Heldwein, M. L.; Novak, M.; Rossi, M.; Abdelrahem, M.; Trabelsi, M.; Ahmed, M.; Karamanakos, P.; Xu, S.; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa
    Model-predictive control (MPC) has emerged as a promising control method in power electronics, particularly for multiobjective control problems such as multilevel inverter (MLI) applications. Over the past two decades, improving the performance of MPC and tackling its technical challenges, such as computational load, modeling accuracy, cost function design, and weighting factor selection, have attracted great interest in power electronics. This article aims to discuss the current state of MPC strategies for MLI applications, describing the significance of each challenge with the reported effective solutions. Through this review, the MPC methods are categorized into two groups: direct MPC (without modulator) and indirect MPC (with modulator). The recent advances of each category are presented and analyzed, focusing on direct MPC as the most applied method for MLI topologies. In addition, some of the important concepts are experimentally validated through a case study and compared under the same operating conditions to evaluate the performance and highlight their features. Finally, the future trends of MPC for MLI applications are discussed based on the current state and reported developments.
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    Weighting factor-free model predictive control for three-level buck converters
    (IEEE, 2023) Makhamreh, Hamza; Dyab, Amer Mohammad Nayef; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa; Dyab, Amer Mohammad Nayef
    In this paper, a Finite Control Set Model Predictive Control (FCS-MPC) algorithm is proposed. The cost function in this predictive control algorithm is designed to eliminate the dependency on the physical parameters of the circuit, which may have a high mismatch margin affecting the precision of the design. The algorithm is implemented for a three-level buck converter, and the simulation is compared to the classical FCS-MPC method. Compared to the classical MPC method, the proposed Lyapunov-based MPC method requires no gain tuning and has a simple design procedure while achieving comparable performance.
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    ArticlePublicationOpen Access
    Model predictive control of a PUC5-based dual-output electric vehicle battery charger
    (MDPI, 2023-10) Makhamreh, Hamza; Kanzari, M.; Trabelsi, M.; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa
    In this study, a model predictive control (MPC) technique is applied to a packed-u-cell (PUC)-based dual-output bidirectional electric vehicle (EV) battery charger. The investigated topology is a 5-level PUC-based power factor correction (PFC) rectifier allowing the generation of two levels of DC output voltages. The optimization of the MPC cost function is performed by reducing the errors on the capacitors’ voltages (DC output voltages) and the grid (input) current. Moreover, the desired capacitors’ voltages and peak value of the input current are considered within the designed cost function to normalize the errors. In addition, an external PI controller is used to generate the amplitude of the grid current reference based on the computed errors on the capacitors’ voltages. The presented simulation and experimental results recorded using a 1 kW laboratory prototype demonstrate the high performance of the proposed approach in rectifying the AC source at different levels (dual rectifier), while drawing a sinusoidal current from the grid with low THD (around 4%) and ensuring a unity power factor operation.
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    Model-independent sliding mode control for grid-connected crossover switches cell inverter with reduced switching frequency
    (IEEE, 2023) Makhamreh, Hamza; Electrical & Electronics Engineering; MAKHAMREH, Hamza Ahmed Mousa
    In this study, a finite control set-sliding mode controller (FCS-SMC) is applied to a grid-connected 9-level Crossover Switches Cell (CSC9) inverter. The proposed control technique is model-independent, as it selects the control actions based on the current state variables' errors rather than the past values. The control algorithm optimizes the control inputs to fulfill the reaching requirements of two designed cost functions that were derived based on the sliding mode (SM) theory. Moreover, a small permissible capacitor voltage error (hysteresis width h) is introduced to add an extra degree of freedom to the system, which allows the reduction of the average switching frequency without compromising the design requirements. The main advantages of the proposed method lie in its simplicity, absence of gain adjustment requirements, and straightforward design process. Simulation results are presented to demonstrate the effectiveness of the proposed SMC in achieving excellent dynamic performance and robustness against disturbances while controlling the capacitor voltage and grid current.