International Journal of Power Electronics and Drive Systems (IJPEDS)
International Journal of Power Electronics and Drive Systems (IJPEDS, ISSN: 2088-8694, a SCOPUS indexed Journal) is the official publication of the Institute of Advanced Engineering and Science (IAES). The scope of the journal includes all issues in the field of Power Electronics and drive systems. Included are techniques for advanced power semiconductor devices, control in power electronics, low and high power converters (inverters, converters, controlled and uncontrolled rectifiers), Control algorithms and techniques applied to power electronics, electromagnetic and thermal performance of electronic power converters and inverters, power quality and utility applications, renewable energy, electric machines, modelling, simulation, analysis, design and implementations of the application of power circuit components (power semiconductors, inductors, high frequency transformers, capacitors), EMI/EMC considerations, power devices and components, sensors, integration and packaging, induction motor drives, synchronous motor drives, permanent magnet motor drives, switched reluctance motor and synchronous reluctance motor drives, ASDs (adjustable speed drives), multi-phase machines and converters, applications in motor drives, electric vehicles, wind energy systems, solar, battery chargers, UPS and hybrid systems and other applications.
Articles
2,660 Documents
<![CDATA[Impact and reliability analysis of voltage sags in a multi-pulse transformer-fed variable frequency drive system ]]>
<![CDATA[Govarthanan, R.]]>;
<![CDATA[Palanisamy, K.]]>;
<![CDATA[Paramasivam, S.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp123-139
<![CDATA[In an industrial grid, variable frequency drives (VFDs) are the major appliances that contribute to harmonic pollution. To reduce the effects of this harmonic pollution and comply with the regulatory standards, multi-pulse transformers are used to cancel out the specific harmonics. The VFDs experience a different input current profile when fed through multi‑pulse transformers compared to direct grid connection. Despite the harmonic pollution reduction in the grid due to this implementation, the current stresses faced by the front-end devices will become higher. If the VFDs are designed only considering the impact of the direct grid consideration, the lifetime and reliability of the front-end devices will be a concern if operated with a multi-pulse feeder. This condition will be worse if there are presence of different types of sag events. This research details the effects of the reflected sags in the multi-pulse transformer’s secondary windings and the current stresses in the different front-end converter elements due to this. Also, a systematic methodology using the FIDES approach is used to estimate the reliability of the front-end converter. A 7.5 kW-rated VFD is fed with a 12-pulse transformer is used for this research.]]>
<![CDATA[Machine learning based models for solar energy ]]>
<![CDATA[Cherifi, Dalila]]>;
<![CDATA[Dahbi, Abdeldjalil]]>;
<![CDATA[Sebbane, Mohamed Lamine]]>;
<![CDATA[Baali, Bassem]]>;
<![CDATA[Kadri, Ahmed Yassine]]>;
<![CDATA[Chaib, Messaouda]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp752-764
<![CDATA[Photovoltaic (PV) technology is one of the most promising forms of renewable energy. However, power generation from PV technologies is highly dependent on variable weather conditions, which are neither constant nor controllable, which can affect grid stability. Accurate forecasting of PV power production is essential to ensure reliable operation within the power system. The primary challenge of this study is to accurately predict photovoltaic energy production, considering that weather conditions, such as irradiance, temperature, and wind speed, are random variables. The key contribution of this article is developing a machine learning model to predict the energy production of a real PV power plant in Algeria. Using real measurements sourced from the Center of Renewable Energy Development (CDER) in Adrar, Algeria, in 2021. The data are from two PV power plants located in harsh desert climate conditions. The results presented in this study offer a comparison of several predictive methods applied to real-world data from a PV power plant situated in the Saharan Region. Our findings reveal that the artificial neural network (ANN) model yields the most accurate predictions of 94.96%, with the smallest prediction error: root mean square (RMSE) and mean absolute error (MAE) are 7.78% and 3.80%, respectively.]]>
<![CDATA[State of charge prediction for new and second-life lithium-ion batteries based on the random forest machine learning technique ]]>
<![CDATA[Sahhouk, Masoud A.]]>;
<![CDATA[Aziz, Mohd Junaidi Abdul]]>;
<![CDATA[Ardani, Mohd Ibthisham]]>;
<![CDATA[Idris, Nik Rumzi Nik]]>;
<![CDATA[Sutikno, Tole]]>;
<![CDATA[Othman, Bashar Mohammad]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp487-501
<![CDATA[Accurate state of charge (SOC) estimation is a critical requirement for the safe and efficient operation of lithium-ion batteries (LIBs), particularly in second-life battery (SLB) applications where battery ageing, nonlinear degradation, and measurement noise introduce uncertainty. Although numerous SOC estimation techniques have been proposed, reliable prediction for new and second-life batteries under varied operating conditions remains challenging. In this study, a comparative investigation of the conventional coulomb counting (CC) method and a data-driven random forest (RF) model is conducted for SOC prediction in new and second-life LIBs. Experimental data are obtained from Murata US18650VTC5D cells under pulse discharge tests (PDT), constant discharge tests (CDT), and dynamic stress tests (DST) across a wide range of C-rates. PDT is conducted at 0.24 C, CDT at 0.2 C, 0.5 C, 1 C, and 2 C, while DST is performed at C-rates ranging from 0.5 C to 4 C at a controlled ambient temperature of 25 °C. The RF model is trained using voltage, current, and time features and evaluated against CC using MAE, MSE, RMSE, and R² metrics. Results show that RF consistently outperforms CC under all conditions, particularly for SLBs, achieving significantly lower errors and R² values approaching 0.998. These findings confirm the effectiveness of RF-based SOC estimation for intelligent battery management systems (BMS).]]>
<![CDATA[Design and implementation of a buck converter-based PV emulator using dynamic evolution control ]]>
<![CDATA[Samosir, Ahmad Saudi]]>;
<![CDATA[Despa, Dikpride]]>;
<![CDATA[Gusmedi, Herri]]>;
<![CDATA[Ferbangkara, Sony]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp809-822
<![CDATA[This paper presents the design, simulation, and experimental implementation of a photovoltaic (PV) emulator based on a buck converter controlled using the dynamic evolution control (DEC) technique. The proposed system accurately reproduces the nonlinear current-voltage (I-V) and power-voltage (P-V) characteristics of a commercial GREEN CELL SM100-18P (100 Wp) PV module under standard test conditions (1000 W/m2, 25 °C). The electrical characteristics of the reference module are embedded in the controller through a lookup table (LUT), which is integrated with the DEC algorithm to enable adaptive real-time regulation of output voltage and current. System modeling and validation are first conducted in MATLAB/Simulink to analyze steady-state and transient performance. A hardware prototype based on an XL4016 buck converter and Arduino Nano microcontroller is then implemented, with real-time monitoring provided via an ILI9341 TFT display. Experimental results show that the emulator achieves a maximum power deviation of 0.8%, a normalized root mean square error (RMSE) of 0.015, a settling time of approximately 12 ms, overshoot below 1.5%, voltage ripple under 2%, and peak conversion efficiency of 94% near the MPP region. These results confirm that the proposed PV emulator provides accurate static and dynamic reproduction of PV characteristics, offering a low-cost, stable, and repeatable platform for laboratory-scale evaluation of PV-related power electronic converters.]]>
<![CDATA[An efficient grid-connected solar PV system with a fault-tolerant mechanism to mitigate the voltage disturbances ]]>
<![CDATA[Jayakumar, N.]]>;
<![CDATA[Vighneshwari, B. Devi]]>;
<![CDATA[Prema, V.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp282-292
<![CDATA[One of the most effective renewable energy solutions for long-term power generation is a solar photovoltaic (PV) system that is connected to the grid. However, power quality and system reliability can be significantly impacted by grid-side voltage disturbances such as sag, swell, and faults. To reduce voltage fluctuations and improve grid stability, this study proposes an effective fault-tolerant (FT) solar PV system coupled with a dynamic voltage restorer (DVR). The adaptive DVR-based control method, which dynamically injects compensatory voltages based on disturbance amplitude to ensure uninterrupted and distortion-free power delivery, is the feature that makes this study unique. MATLAB/Simulink is used to model and simulate the system to assess its dynamic response under fault, sag, and swell situations. IEEE 519 standards are met by the suggested design, which produces average total harmonic distortion (THD) values of 0.59%, 1.16%, and 1.55% for 50%, 100% sag/swell, and three-phase fault circumstances, respectively. This indicates that even in challenging grid situations, the DVR can sustain high-quality voltage profiles. For implementation in renewable-rich or weak grid networks, the suggested FT-DVR configuration provides a workable and affordable solution that guarantees better voltage regulation, less harmonic distortion, and increased operational dependability for upcoming smart-grid integration.]]>
<![CDATA[Improving the energy efficiency of two-speed motors through the use of new pole-switched windings ]]>
<![CDATA[Issabekov, Zhanat]]>;
<![CDATA[Rismukhamedov, Dauletbek]]>;
<![CDATA[Shamsutdionov, Khusniddin]]>;
<![CDATA[Husanov, Shakhobiddin]]>;
<![CDATA[Rismukhamedov, Sabit]]>;
<![CDATA[Issabekova, Bibigul]]>;
<![CDATA[Zhantlessova, Assemgul]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp195-210
<![CDATA[This article addresses the design and manufacturing of two-speed asynchronous motors with pole-changing windings. The need for developing two-speed motors with a single pole-changing winding is justified from the standpoint of energy and resource efficiency, as well as improved starting performance of high-power electric drives. An analysis of existing pole-changing winding designs is presented, highlighting their practical limitations in industrial applications. A new pole-changing winding with a 4/2 pole ratio and 48 stator slots was developed using the discrete spatial functions method based on star–delta–double star configurations. The electromagnetic characteristics of the proposed winding were analyzed. Based on this design, a new 4A200L8/4U3 two-speed motor was manufactured and tested under production conditions at the energy motors plant. Experimental results show that at p1 = 4 pole pairs the motor delivers P2 = 20 kW with efficiency η = 87%, cos φ = 0.82, I1 = 43 A at slip s = 2.35%, while at p2 = 2 pole pairs it develops P2 = 36 kW with efficiency η = 91.5%, cos φ = 0.906, I1 = 66 A at slip s = 1.5%. The results confirm more efficient utilization of the active magnetic core at lower polarity and demonstrate the feasibility of implementing such motors for energy-saving applications in heavy-duty drives requiring two equivalent operating speeds.]]>
<![CDATA[Optimal speed control of SRM with integration of switching variable proportional desaturation fuzzy logic regulator for EV application ]]>
<![CDATA[Kumar, Kadali Ravi]]>;
<![CDATA[Jatoth, Narender]]>;
<![CDATA[Mukassir, Shaik Mohammed]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp58-68
<![CDATA[SRMs are recognized for their high efficiency, strong torque output, and capability to operate at high speeds, making them well-suited for electric vehicle (EV) applications. Their high initial torque effectively overcomes the vehicle's inertia during the drive mode, enhancing overall performance. Switched reluctance machines (SRMs) come in various structural configurations such as 8/6, 6/4, and 4/2, offering flexible options for different vehicle requirements. Speed control in SRMs is typically managed through current regulation, which is handled by a current controller. Traditionally, a proportional integral (PI) controller is used to generate the required reference current. However, the PI regulator is prone to high damping and sensitivity to disturbances, leading to increased speed overshoot during startup and longer settling times. To address these limitations, a switched variable proportional desaturation PI (SVPDPI) controller is employed. Nevertheless, due to its relatively slow response, the PI component in the SVPDPI is replaced with a fuzzy logic module to enhance controller performance. This results in a switched variable proportional desaturation fuzzy logic (SVPDFL) regulator, which significantly reduces initial speed overshoot and improves settling time toward the desired reference speed. This paper presents a comparative analysis of these controllers, with simulations conducted using MATLAB/Simulink to evaluate performance improvements.]]>
<![CDATA[Analytical formulation of relationship between ionization current and extracted ion beam current in a Penning ion source ]]>
<![CDATA[Silakhuddin, Silakhuddin]]>;
<![CDATA[Kudus, Idrus Abdul]]>;
<![CDATA[Jati, Bambang Murdaka Eka]]>;
<![CDATA[Palupi, Dwi Satya]]>;
<![CDATA[Taufik, Taufik]]>;
<![CDATA[Mulyani, Emy]]>;
<![CDATA[Heranudin, Heranudin]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp629-639
<![CDATA[A study on the performance of the Penning-type internal ion source of the DECY-13 cyclotron has been conducted to evaluate the relationship between cathode current and extracted ion beam current, as well as the stability of the extracted beam. The DECY-13 cyclotron, developed at the Research Center of Accelerator Technology, BRIN, is designed to produce 13 MeV protons for radioisotope production. In the experiment, the cathode current was varied between 200-400 mA, while the magnetic field and extraction voltage at 1.25 T and 3 kV, respectively. The results indicate a clear power-law dependence between cathode current (Ic) and extracted beam current (Iext), expressed as Iext=343.8 Ic^1.42 . This relationship suggests that ionization efficiency increases sharply with cathode current. Stability tests at 400 mA cathode current showed that the extracted beam current remained stable at ~70 μA over 45 minutes, with only minor fluctuations. These findings demonstrate that cathode current is an effective parameter for controlling extracted beam current. The results contribute to a better understanding of ion source behavior in cyclotron systems and provide a foundation for further optimization of Penning ion sources for radioisotope production.]]>
<![CDATA[An innovative winding configuration to enhance 3-phase induction motor performance ]]>
<![CDATA[Anthony, Zuriman]]>;
<![CDATA[Nazir, Refdinal]]>;
<![CDATA[Hamid, Muhammad Imran]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp82-94
<![CDATA[A three-phase induction motor is extensively employed in the industrial sector due to its robustness and cost-effectiveness. An enhancement of this motor is underway to optimize its performance. Enhancing motor performance is intricately linked to escalating motor production expenses. Consequently, an innovative strategy is essential to enhance motor performance without incurring substantial extra expenses. This study aimed to introduce a novel approach for designing 3-phase induction motor coils to enhance motor performance without significant additional expenses. This study concentrated on the design of a 3-phase induction motor coil, rated at 1 HP, 380 V, 2 A, 4 poles, and 24 slots, and arranged in a Y-connection. We fabricated the coil using a dual-layer approach, creating magnetic pole pairs on each layer. The study's results demonstrated an improvement in output power, efficiency, load torque, and rotor speed of the new motor design, specifically by 19.32%, 16.26%, 18.48%, and 0.72%, respectively. Despite a 3.05% rise in motor coil current during peak load conditions, the motor's overall performance significantly improves, enhancing its capabilities without considerable additional expenses. This study claims that the suggested way can make other 3-phase induction motors work better without costing a lot more.]]>
<![CDATA[Fuzzy adaptive sliding mode control with exponential reaching law for enhanced 4WD electric vehicle speed control ]]>
<![CDATA[Bouregba, Abdelhamid]]>;
<![CDATA[Hazzab, Abdeldjabar]]>;
<![CDATA[Benhammou, Aissa]]>;
<![CDATA[Hadjeri, Samir]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 17, No 1: March 2026 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v17.i1.pp107-122
<![CDATA[This paper discusses a novel fuzzy adaptive sliding mode control (FASMC) strategy for a four-wheel-drive (4WD) electric vehicle (EV), incorporating an exponential reaching law (ERL) and a fuzzy adaptive switching gain to enhance speed tracking. The classical SMC technique often suffers from the chattering problem, which can degrade the dynamic control performance of the electric vehicle. To address these challenges, the proposed hybrid controller employs an exponential reaching law to ensure fast convergence and reduced chattering, while a fuzzy logic-adaptation mechanism dynamically adjusts the switching gain to improve robustness against uncertainties and external disturbances. First, the mathematical model of the motor derived for achieving speed regulation using the classical SMC with an exponential reaching law based on indirect-field-oriented control (FOC). Then, the proposed control technique is designed to automatically adjust the ERL gain using a fuzzy logic controller to ensure precise vehicle speed control, optimizing the vehicle's dynamics under varying road conditions. This novel configuration enables the development of a 4WD EV control framework with an optimized controller, serving as the foundation for implementing our proposed study. The results validate the proposed method's superiority, delivering lower chattering, enhanced tracking precision, and greater robustness compared to traditional SMC while adhering to control standards. This control framework presents a viable advancement for 4WD EV motion management, supporting safer, more effective autonomous vehicle technologies.]]>
