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
2,594 Documents
<![CDATA[Axial flux machine performance enhancement using recurrent neural network controller ]]>
<![CDATA[Anumala, Kalpana]]>;
<![CDATA[Veligatla, Ramesh Babu]]>
<![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.pp740-750
<![CDATA[Traditional control methods often face limitations in optimizing the performance of these motors, especially in complex industrial and automotive applications where precision, stability, and energy efficiency are paramount. By exploring advanced control strategies such as multi-level inverters and neural network controllers, this study aims to overcome these limitations and unlock the full potential of dual rotor axial flux induction motors. The integration of multi-level inverters enables finer control of motor operation and enhances power quality, while neural network controllers offer adaptive and intelligent control capabilities, enabling the system to learn and optimize performance in real-time. The study investigates novel approaches to enhance the performance and efficiency of electric motor control systems. The study aims to address the challenges associated with traditional control methods and optimize the operation of dual rotor axial flux induction motors. The research evaluates various performance metrics associated with the speed control system, including error histograms, training performance, regression accuracy, rotor speed dynamics, rotor torque characteristics, time series analysis, and training state assessment. The study achieves significant milestones in optimizing system performance, as evidenced by key findings such as a low mean squared error (MSE) of 0.00011396 achieved during training, strong correlation in regression analysis with an R-value of 0.99718, and effective training dynamics indicated by a gradient value of 0.0091742 and a learning rate (Mu) of 0.0001. These results underscore the effectiveness and reliability of the proposed control strategies in improving motor performance, efficiency, and reliability while reducing energy consumption and operational costs. The proposed method is implemented using MATLAB.]]>
<![CDATA[DTC of PMSM based on a simple duty ratio approach with ripple reduction scheme ]]>
<![CDATA[Lemma, Berhanu Deggefa]]>;
<![CDATA[Pradabane, Srinivasan]]>;
<![CDATA[Sutikno, Tole]]>;
<![CDATA[Reta, Getu Girma]]>;
<![CDATA[Feyisa, Negasa Muleta]]>
<![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.pp808-816
<![CDATA[Today, phase permanent magnet synchronous motor (PMSM) applies to electric drives. But due to its structure and control scheme, PMSM suffers from ripple performance when a control scheme like direct torque control (DTC) is used. This work uses a simple scheme to generate switching signals and determine duty ratios. The duty ratio is obtained from the Volt-second balance. Switching signal generation is performed in the DTC scheme by incorporating the effects of duty ratio, torque error, flux error, and sector number. Dwelling time is obtained in volt-seconds using the reference voltage magnitude and sector number. But voltage state selection is done using the DTC lookup table. Since the DTC lookup table is used for voltage state selection only one active and one null voltage is used. Both active and null voltage periods are divided into two parts and each voltage vector is applied twice in one total switching period. The proposed scheme is tested in MATLAB 2021b. Simulation results indicate that the method is effective in terms of dynamics and harmonics. The scheme torque ripple is 12.5%. Likewise, the flux ripple and harmonic are 0.69% and 0.79%, respectively. Additionally, the scheme is effective for both four quadrants and wide-speed operation. Verification of the proposed scheme is done with OPAL-RT (OP4500). The scheme appears to be effective.]]>
<![CDATA[Optimal annual solar PV penetration for improved voltage regulation and power loss reduction under uncertainty conditions ]]>
<![CDATA[Ba-swaimi, Saleh]]>;
<![CDATA[Verayiah, Renuga]]>;
<![CDATA[Ramachandaramurthy, Vigna K.]]>;
<![CDATA[Binajjaj, Saeed Ali]]>;
<![CDATA[Padmanaban, Sanjeevikumar]]>
<![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.pp1147-1159
<![CDATA[Given their technological, economic, and environmental advantages, the widespread adoption of renewable distributed generators (RDGs) in distribution systems (DSs) is becoming more prevalent. However, Solar photovoltaic distributed generators (PV-DGs) face the challenge of intermittent behavior, which results in power output fluctuations and increased grid uncertainty. Therefore, addressing these uncertainties is crucial when determining their optimal allocation. The proposed method considers uncertainties related to both load demand and solar irradiation. The model is formulated as a stochastic mixed-integer nonlinear optimization problem, which is solved using the whale optimization algorithm (WOA). The standard IEEE 33-bus system is used to validate the proposed approach, and demand variations are modeled based on the IEEE reliability test system (IEEE-RTS). The objective is to simultaneously minimize total expected voltage deviation, real power loss, and reactive power loss while increasing solar PV penetration. The technique for order of preference by similarity to the ideal solution (TOPSIS) is applied to select the best solution. Simulated results indicate significant improvements: a 19.39% reduction in voltage deviation, an 18.42% decrease in total real power loss, and an 18.53% reduction in reactive power loss compared to the base case. Additionally, the model accommodates a total of 3.206625 MW of solar PV power in the DS.]]>
<![CDATA[Development of operation strategy for PV- fuel cell hybrid power system to maximize efficiency and minimize stress ]]>
<![CDATA[Indriawati, Katherin]]>;
<![CDATA[Nawangsih, Nawangsih]]>;
<![CDATA[Ekatiara, Cindy Reviko]]>
<![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.pp1219-1229
<![CDATA[This study explores the development of an energy management strategy (EMS) using a modified external energy management strategy (EEMS) for a hybrid PV-fuel cell power system. The primary aim was to address efficiency challenges and reduce the premature aging of fuel cells, batteries, and supercapacitors (SCs) caused by excessive stress. Incorporating photovoltaic (PV) energy as an additional renewable energy source (RES) has proven to improve the efficiency of the hybrid system. The EEMS-based strategy reduces hydrogen consumption by prioritizing the energy supply from the battery and SC. However, the traditional EEMS approach introduces chattering phenomena that can negatively impact system lifespan. By modifying the EEMS optimization problem, the modified EEMS effectively mitigates chattering, maintaining the battery's state of charge (SOC) and the DC bus voltage within specified ranges, while also reducing stress on the battery and SC. The results demonstrate a significant enhancement in both system performance and efficiency.]]>
<![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.]]>
