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.
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<![CDATA[Development of dual functional converter for drive and charging power conversion for EV drive ]]>
<![CDATA[Tadivaka, Teja Sreenu]]>;
<![CDATA[Kumar, Malligunta Kiran]]>;
<![CDATA[Teja, Srungaram Ravi]]>;
<![CDATA[Reddy, Ch. Rami]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp794-807
<![CDATA[The adaptability of electric vehicle drives is primarily concerned with the size and efficiency of power conversion. This paper presents a unified power converter for the drive and charge functions of brushless direct current-based electric vehicle drives (BLDC). The symmetrical utilization of BLDC phase windings during charging operation is implemented for efficient power conversion. The unified converter operation, configuration, and control are presented. The proposed converter is simulated in the MATLAB/Simulink platform. The performance is evaluated using operational variables such as voltage, current, torque, and speed. A comparative study is presented regarding the size and efficiency of the proposed and existing drives. The proposed drive achieved 0.01 p.u. ripple in torque, 10-sec transient time for a change in speed full throttle command, and unity power factor current for charging operation, proving its robustness over the comparable drives.]]>
<![CDATA[Improving efficiency of multi-phase cascaded DC-DC boost converters in discontinuous conduction mode suitable for renewable energy application ]]>
<![CDATA[Rizqiawan, Arwindra]]>;
<![CDATA[Muzakki, Muhammad Farras]]>;
<![CDATA[Furqani, Jihad]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1248-1260
<![CDATA[This study presents an improvement on the efficiency of a proposed multiphase cascaded DC-DC boost converter by employing discontinuous conduction mode(DCM) for its operation. The proposed multiphase cascaded DC-DC boost converter is characterized by high voltage gain and low input current ripple. This converter consists of two stages and is designed to connect a photovoltaic (PV)system to a DC microgrid bus. First, the loss equations for the converter are analyzed, then discontinuous conduction mode is applied to the first stage of the proposed converter by adjusting the second stage output current value, which represents grid load fluctuations. Subsequently, the efficiency of the proposed converter will be evaluated. Further, comparison with two operation modes, continuous conduction mode (CCM) and boundary conduction mode (BCM), is provided. To verify the proposed analysis and calculation, experiments are conducted by implementing the circuitry in a lab-scale prototype. The results show that by implementing DCM operation, the proposed converter achieves the high est efficiency of 92.2% at an output power of 120 W, while other modes achieve lower efficiencies as in CCM with 90.17% at an output power of 215.5 W. In the proposed converter, the dominant source of losses is attributed to the inductor, accounting for approximately 62% of the total losses in DCM. The operation of DCMhas demonstrated a substantial reduction in switching losses, leading to a notable increase in efficiency.]]>
<![CDATA[Design and implementation of jerk-controlled elevator systems using S-curve motion profiles ]]>
<![CDATA[Ali, Ali Abdulkareem]]>;
<![CDATA[Salem, Fatma Ben]]>;
<![CDATA[Mohammed, Jamal A.-K.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp780-793
<![CDATA[Electric elevators often experience significant jerks that can shorten their lifespan and cause passenger discomfort, especially during acceleration and deceleration. To address this issue, this study presents the development and implementation of S-curve motion profiles for a prototype three-floor rope elevator system. The elevator cabin is driven by a three-phase induction motor using sensorless vector control technology, with a variable frequency drive (VFD) managing the cabin's velocity. The findings indicate that employing S-curve motion profiles reduces jerk by approximately 29.43% when the elevator is ascending without a load and by 48.15% when descending without a load. In the loaded scenario, the elevator experiences a significant reduction in jerk, decreasing by 48.78% during ascent and 52.08% during descent. By smoothing out abrupt acceleration changes, the reduction in jerk leads to a more seamless motion of the elevator car, significantly enhancing passenger comfort. Consequently, this approach improves the efficiency and reliability of elevator operations, providing a versatile platform for future vertical transportation advancements.]]>
<![CDATA[Evaluation of a fuzzy-based sliding mode control strategy for a DC-DC buck converter ]]>
<![CDATA[Nguyen, Quan Vinh]]>;
<![CDATA[Tran, Huu-Toan]]>;
<![CDATA[Mai, Long Thang]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp891-906
<![CDATA[DC-DC converters operate as semiconductor power devices in which transformers such as buck converters often cause nonlinear characteristics to the converter, while the output voltage of the converter affected by dynamic input voltage and load change. This paper presents a sliding mode control strategy using a fuzzy observer to provide a sustainable response and high performance for buck converters affected by uncertainties such as input voltage and resistance load. The control strategy includes two feedback loops in which an external control loop forces the output voltage to track the set voltage, and the output of the external control loop is adapted as a sliding surface to control the current through the inductor to track the set current, called the internal control loop. Design analysis, control law and Lyapunov stability of the control strategy are illustrated. The simulation is developed on the MATLAB-Simulink platform, the results are re-evaluated experimentally based on the self-built prototype of DC-DC buck converter. The simulated and experimental results have showed that the output voltage and current of the buck converter have tracked the set points from low to high values despite sudden changes in load as well as in input voltage in the presence of noise. The compatibility index normalized root mean square error of the measured voltage and current using the proposed algorithm is [96.34%±1.02%, 95.09%±3.04%] higher than that using the proportional integral (PI) algorithm which is [95.94% ± 3.01%, 85.72% ± 3.95%] in the presence of varying parameters.]]>
<![CDATA[A review of modeling techniques and structural topologies for double stator permanent magnet machines ]]>
<![CDATA[Muliawati, Fithri]]>;
<![CDATA[Ahmad, Suhairi Rizuan Che]]>;
<![CDATA[Othman, Raja Nor Firdaus Kashfi Raja]]>;
<![CDATA[Yahya, Yanawati]]>;
<![CDATA[Nur, Tajuddin]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp751-768
<![CDATA[This study reviews the advancements in double-stator permanent magnet machines (DSPMM) with a focus on modeling techniques, design variations, and performance optimization. The research categorizes existing DSPMM modeling methods, including numerical approaches like finite element method (FEM) and boundary element method (BEM), as well as analytical approaches such as analytical subdomain method (ASM), magnetic equivalent circuit (MEC), and Maxwell's equation approach (MEA). These methods improve analytical accuracy, computational efficiency, and address challenges like magnetic saturation and electromagnetic interactions. Structural innovations, including segmented rotor-stator techniques, Halbach arrangements, and soft composite materials, enhance torque density, reduce cogging torque, and optimize magnetic flux distribution, contributing to higher energy efficiency and reduced noise. Supported by software tools like Ansys Maxwell and JMAG-designer, this study identifies optimal DSPMM configurations for various applications, including electric vehicles and renewable energy systems. The findings emphasize the potential of DSPMM for efficient, high-performance electric machines while highlighting the need for further research on transient effects and advanced cooling systems to improve thermal stability.]]>
<![CDATA[Harmonic control in electrical drives for transport systems ]]>
<![CDATA[Nguyen, Thanh Lich]]>;
<![CDATA[Phung, Van Trang]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp827-839
<![CDATA[Field-oriented control (FOC) is the most widely used method for controlling alternating current (AC) drives, using Clarke and Park transformations to enable current controllers to manipulate the amplitude of the fundamental component of the phase currents. The inherent advantage of the FOC method is that it transforms current control tasks into a DC domain, thereby enhancing the dynamics of current response and the capability of tracking the current reference. The idea of the FOC can be extended beyond the fundamental component to control some of the harmonics buried in any signals presented in electrical drives, which is particularly critical in transport systems. This paper presents a harmonic control framework, optimized for transport applications, with three different topologies: adaptive linear neural (Adaline), resonant controller (RC), and harmonic controller (HC). The study provides a comprehensive theoretical analysis of the mathematical relationships between these three control structures. Additionally, it explores the application of harmonic controllers in both current and speed control loops. Simulation and experimental results are used to validate the proposed framework, demonstrating its potential to improve the performance of electric drives in vehicles, including enhanced energy efficiency, reduced electromagnetic interference, and smoother torque production.]]>
<![CDATA[A single-stage AC conversion with the three-phase matrix converter for the constant V/f ratio method ]]>
<![CDATA[Hothongkham, Prasopchok]]>;
<![CDATA[Suathed, Sataporn]]>;
<![CDATA[Aurairat, Anuchit]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1038-1050
<![CDATA[This research introduces a single-stage direct three-phase matrix converter that utilizes the signals from the output voltage for designing pulse-width modulation signals. This converter is made up of nine bidirectional switches that use IGBT power diodes. It directly converts a steady three-phase source voltage and frequency into a variable output voltage and frequency by adjusting the frequency and modulation index of the pulse-width modulation (PWM) signals. A mathematical model is utilized to illustrate the basic principles of the matrix converter before examining its operational waveform. An evaluation is then made between the analytical waveforms and the functional waveforms, as well as the harmonics generated by the direct three-phase matrix converter. The results from both methods and processes are displayed in close agreement. Additionally, this paper discusses V/f control for induction motor drive control using this converter.]]>
<![CDATA[Single stage boost cascaded multilevel inverter for photovoltaic applications ]]>
<![CDATA[Sriramalakshmi, P.]]>;
<![CDATA[Angalaeswari, S.]]>;
<![CDATA[Sujatha, M.]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1012-1023
<![CDATA[This article discusses a high-gain five-level SL-SC-based cascaded multilevel qSBI (qSBMLI) for photovoltaic applications. A combination of switched inductor and switched capacitor structure produces a boost at high levels. Two identical SL-SC-based qSBI modules are cascaded and powered with two stiff DC voltage sources of 18 V each. The DC voltage of 18 V obtained from two different DC voltage sources is applied to each module. An 18 V DC voltage is supplied to a single module-A, which produces a DC link voltage (VPN) of about 240 V at the inverter's input side. The modulation index (MI) is selected as 0.68, and the duty ratio is kept at 0.3. The boost factor is obtained as 13.3, and the load voltage of 150 V is achieved across the resistive load. Hence, the voltage gain is 6.9. The proposed topology delivers 337 W of power to the load at an efficiency of 73%. The complete circuit topology and its operations are analyzed in MATLAB/Simulink. The control signals for the power switches are produced using the field programmable gate array (FPGA) SPARTAN 3E Kit. When the proposed circuits are analyzed and compared with the existing classical topologies, the proposed one shows the superior performance.]]>
<![CDATA[Buck-boost converter Fed nine level cascaded H-bridge inverter ]]>
<![CDATA[Devendiren, Shobana]]>;
<![CDATA[Babu, R. Samuel Rajesh]]>;
<![CDATA[Ramamurthi, Subbulakshmy]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1107-1115
<![CDATA[This research investigates on simulation of a traditional cascaded H-bridge (CHB) five-level inverter and proposes a nine-level cascaded H-bridge inverter system. The performance of both five-level and nine-level inverter systems is evaluated by modeling and simulating the open-loop system. According to the simulation results, the nine-level multilevel inverter (MLI) has a lower total harmonic distortion (THD) than the five-level MLI. The work also introduces a boost converter positioned between a photovoltaic power source and the inverter. A nine-level inverter system is utilized to simulate the proposed photovoltaic and battery-based buck-boost converter (BBC). The effectiveness of the proposed inverter is verified through simulation studies under various scenarios. In terms of THD, the comparison of the open-loop systems indicates that the nine-level inverter performs better than the five-level inverter. Additionally, simulations for a battery-based buck-boost converter and photovoltaic system used to verify the effectiveness of the proposed inverter.]]>
<![CDATA[Softplus function trained artificial neural network based maximum power point tracking ]]>
<![CDATA[Wen, Liong Han]]>;
<![CDATA[Mohamed, Mohd Rezal]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i2.pp1174-1183
<![CDATA[To optimize the electrical output of a photovoltaic system, maximum power point tracking (MPPT) methods are commonly employed. These techniques work by operating the photovoltaic system at its maximum power point (MPP), which varies based on environmental factors like solar irradiance and ambient temperature, thereby ensuring optimal power transfer between the photovoltaic system and the load. In this paper, an artificial neural network (ANN) is selected as an MPPT technique. The main contribution of the work is to introduce a softplus function trained artificial neural network-based maximum point tracking (SP-ANN MPPT). The proposed method is then compared with a sigmoid function trained artificial neural network-based maximum point tracking (SM-ANN MPPT). The simulation and experimental results show that SP-ANN MPPT is able to track high power than SM-ANN MPPT in different conditions.]]>
