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[Optimization of resonant capacitance values for high-efficiency uninterruptible wireless power transfer system using CST software ]]>
<![CDATA[Rawi, Muhammad Shawwal Mohamad]]>;
<![CDATA[Baharom, Rahimi]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp335-343
<![CDATA[This paper introduces an innovative methodology for optimizing resonant capacitance values (Cp and Cs) to enhance the efficiency of uninterruptible wireless power transfer (UWPT) systems, utilizing advanced computer simulation technology (CST) software. Precise tuning of resonant capacitance is critical for achieving optimal frequency matching, which directly influences system performance. The study focuses on three coil configuration strategies: standard coil configuration, coil integrated with ferrite, and coil enclosed within a casing and ferrite. These configurations were analyzed to identify the optimal capacitance values, resulting in significant efficiency improvements. Through comprehensive CST simulations, the capacitance values of Cp1, Cp2, and Cs were optimized to 140.8 nF, 105.6 nF, and 145.5 nF, respectively, achieving a remarkable power transfer efficiency of 99.61% in the casing and ferrite configuration. The proposed optimization methodology consistently achieved efficiencies exceeding 90% between the transmitter and receiver coils. Beyond simulation results, this research highlights the potential for real-world applications and underscores the importance of precise parameter optimization in advancing high-efficiency wireless power transfer systems. Future studies will aim to validate the findings experimentally and explore broader applications of the proposed system.]]>
<![CDATA[Efficiency enhanced adaptive quasi-sliding mode controller for variable-speed induction motor drive ]]>
<![CDATA[Jacob, Shaija Palackappillil]]>;
<![CDATA[Daniel, Asha Elizabeth]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp151-161
<![CDATA[Recent advancements in automated manufacturing and processing industries necessitate fast-responding, efficient, and robust methods for controlling induction motor (IM) drives. Classical proportional-integral (PI) controllers provide optimal performance only at specific operating points and are sensitive to parameter variations. This work proposes an adaptive quasi-sliding mode controller (AQSMC), which utilizes a tangent (tanh) function as the switching function and demonstrates enhanced robustness and adaptability across a wider range of operating conditions. The AQSMC employs an adaptation law to estimate the dynamic disturbances, offering insensitivity to structured and unstructured uncertainties. Numerical simulations are carried out with the AQSMC that analytically deduces the optimum field flux ensuring efficient performance. A lookup table derived from the efficiency optimization algorithm (EOA) is incorporated to further streamline the computational requirements. To validate simulation results, a prototype was developed using a 1 HP induction motor, a DSP controller board with a TI C2000 Delfino MCU F28379D microcontroller, and an IGBT-based Inverter module. Simulations show a 6.3% efficiency improvement at half load and 300 rpm, while experimental analysis records a 3.9% improvement with the EOA, highlighting the potential for enhancing energy efficiency in various industrial applications.]]>
<![CDATA[Comparative analysis of wind speed prediction: enhancing accuracy using PCA and linear regression vs. GPR, SVR, and RNN ]]>
<![CDATA[Deepa, Somasundaram]]>;
<![CDATA[Arumugam, Jayanthi]]>;
<![CDATA[Purushothaman, Raguraman]]>;
<![CDATA[Nageswari, D.]]>;
<![CDATA[Babu, L. Rajasekhara]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp538-545
<![CDATA[For power systems with significant wind power integration to operate in an efficient and dependable manner, wind speed prediction accuracy is crucial. Factors such as temperature, humidity, air pressure, and wind intensity heavily influence wind speed, adding complexity to the prediction process. This paper introduces a method for wind speed forecasting that utilizes principal component analysis (PCA) to reduce dimensionality and linear regression for the prediction model. PCA is employed to identify key features from the extensive meteorological data, which are subsequently used as inputs for the Linear Regression model to estimate wind speed. The proposed approach is tested using publicly available meteorological data, focusing on variables such as temperature, air pressure, and humidity. Popular models like recurrent neural networks (RNN), support vector regression (SVR), and Gaussian process regression (GPR) are used to compare its performance. Evaluation metrics such as root mean square error (RMSE) and R² are used to measure effectiveness. Results show that the PCA combined with Linear Regression model yields more accurate predictions, with an RMSE of 94.11 and R² of 0.9755, surpassing the GPR, SVR, and RNN models.]]>
<![CDATA[Control of quarter electric vehicle based on PACEJKA tire model by fuzzy sliding controller ]]>
<![CDATA[Baz, Rachida]]>;
<![CDATA[El Majdoub, Khalid]]>;
<![CDATA[Giri, Fouad]]>;
<![CDATA[Ammari, Ossama]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp267-277
<![CDATA[This paper presents the design of a hybrid intelligent fuzzy sliding controller (HIFSC) for a purely electric quarter vehicle (QEV) using a brushless DC (BLDC) motor and a PACEJKA tire model. The proposed system processes control signals to manage the QEV's dynamic longitudinal behavior. The BLDC motor and tire are modeled together to form an in-wheel motor system, which is inherently non-linear and subject to uncertainties. To address these challenges, an intelligent controller integrating sliding mode control (SMC) with fuzzy logic tuning is proposed. While SMC is effective in managing non-linearities, it is prone to chattering. The incorporation of fuzzy logic aims to mitigate this issue, ensuring stability and maintaining the sliding mode. The system and controller were simulated using MATLAB/Simulink. Simulation results demonstrate that the fuzzy sliding mode controller outperforms the conventional PI controller by reducing chattering and enhancing the system's sensitivity to external noise, without overshooting across various road conditions. Notably, the slip rate achieves a maximum of around 2.1% on wet roads.]]>
<![CDATA[Simulation and verification of improved particle swarm optimization for maximum power point tracking in photovoltaic systems under dynamic environmental conditions ]]>
<![CDATA[Mohd Jamhari, Muhammad Khairul Azman]]>;
<![CDATA[Hashim, Norazlan]]>;
<![CDATA[Baharom, Rahimi]]>;
<![CDATA[Othman, Muhammad Murtadha]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp608-621
<![CDATA[This paper introduces an improved particle swarm optimization (iPSO) algorithm designed for maximum power point tracking (MPPT) in photovoltaic (PV) systems. The proposed algorithm incorporates a novel reinitialization mechanism that dynamically detects and adapts to environmental changes. Additionally, an exponentially decreasing inertia weight is utilized to balance exploration and exploitation, ensuring rapid convergence to the global maximum power point (GMPP). A deterministic initialization strategy is employed to uniformly distribute particles across the search space, thereby increasing the likelihood of identifying the GMPP. The iPSO algorithm is thoroughly evaluated using a MATLAB/Simulink simulation and validated with real-time hardware, including a boost DC-DC converter, dSPACE, and a Chroma PV simulator. Comparative analysis with conventional PSO and PSO-reinit algorithms under various irradiance patterns demonstrates that the iPSO consistently outperforms in terms of convergence speed and MPPT efficiency. The study highlights the robustness of the iPSO algorithm in bridging theoretical models with practical applications.]]>
<![CDATA[Performance improvement of harmonic detection algorithm in three phase three wire shunt active power filter under balance voltage condition ]]>
<![CDATA[Usman, Zubairu]]>;
<![CDATA[Azmi, Muhammad Hasbi]]>;
<![CDATA[Mohammad Noor, Siti Zaliha]]>;
<![CDATA[Musa, Suleiman]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp380-388
<![CDATA[Effective harmonic current identification is critical for shunt active power filters (SAPF) to provide accurate and sufficient compensation. This study proposes a modified synchronous reference frame fundamental (MSRFF) method for harmonic extraction in three-phase, three-wire systems. A band pass filter (BPF) was designed by combining low-pass and high-pass filters in the direct-quadrature (d-q) reference frame to improve filtering performance. Unlike traditional methods using phase-locked loops (PLL), this approach employs unit vector templates for synchronization and relies on direct current measurements from load currents. The band pass filter, with low cutoff frequencies, effectively isolates harmonic components in heavily contaminated systems, outperforming other filtering methods. System performance was evaluated using matrix laboratory (MATLAB) simulations, where total harmonic distortion (THD) values were reduced to 2.19% with a low pass filter, 0.99% with a conventional band pass filter, and 0.98% with the combined filter approach. The results demonstrate that the proposed strategy can accurately track and estimate harmonic signals, offering a robust solution for shunt active power filter applications.]]>
<![CDATA[Methods for ensuring stability of operating conditions of an electric power system with distributed generation plants ]]>
<![CDATA[Iliev, Iliya]]>;
<![CDATA[Kryukov, Andrey]]>;
<![CDATA[Bulatov, Yuri]]>;
<![CDATA[Suslov, Konstantin]]>;
<![CDATA[Beloev, Ivan]]>;
<![CDATA[Valeeva, Yuliya]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp138-150
<![CDATA[Modern electric power systems (EPSs) experience an increase in the number of distributed generation plants. These plants can be located far from the center of consumption, which "narrows" the areas of static aperiodic stability, determining the possibility of the existence of the operating mode of the electric power system. Since there can be variations in the operating conditions of distributed generation plants and changes in the areas of static aperiodic stability, it is necessary to use adaptive control algorithms. The presented methods are based on the equations of limit conditions. Reliable convergence of iterative processes is ensured by specifying initial approximations based on the proposed starting algorithms. Modeling of transient processes in the studied EPS was performed for various points in the space of controlled operating parameters in the MATLAB system. It showed the effectiveness of the fuzzy control system when used to adjust the settings of automatic regulators of distributed generation plants. The greatest effect is observed for generator voltage: the transition process time for the first distributed generation installation is reduced by four times, and for the second installation – by 2.3 times; there are no generator voltage fluctuations in transient mode.]]>
<![CDATA[Backstepping multiphase induction machine control impact in presence of open phases fault ]]>
<![CDATA[Berrahal, Chaker]]>;
<![CDATA[El Fadili, Abderrahim]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp185-194
<![CDATA[As power requirements increase, multiphase induction machines (MPIMs) present a promising alternative to conventional three-phase induction machines. These machines help reduce the current switched by the inverter and circulating through the windings, which in turn mitigates torque ripple. Moreover, incorporating more than three phases enhances system reliability, allowing the machine to maintain operation even in the event of one or more phase failures. This makes MPIMs particularly suitable for high-reliability applications, such as electric vehicles. While most previous studies have concentrated on speed and flux control of MPIMs, less attention has been given to handling open-phase faults. This paper explores the robustness of the backstepping control method applied to MPIMs, particularly in scenarios involving open-phase faults. The proposed multi-loop nonlinear controller is developed to achieve two main objectives: precise speed regulation across a wide range of speed references, and effective rotor flux control. The convergence of the feedback control system is rigorously analyzed using Lyapunov’s stability theory. Simulation results show that, although the control objectives are met, stator current demands increase as more phases experience faults. This observation highlights the need for further development of MPIM models that take phase faults into consideration.]]>
<![CDATA[Adaptive dung beetle optimization-based agile perturb and observe technique for energy management system ]]>
<![CDATA[Sengar, Shweta]]>;
<![CDATA[Kumar, Aniket]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp546-554
<![CDATA[Energy storage system (ESS) plays a significant role in maximizing the use of renewable energies to ensure a balance between power generation and demand. ESS assists in maintaining grid stability by providing backup power during fluctuations or outages and smoothing out the variability of renewable energy source (RES). However, EMS fails to effectively balance dynamic interactions due to the unpredictable nature of renewable energy sources (RES) which results in a suboptimal performance. This research proposes an adaptive T-distribution dung beetle optimization-based agile perturb and observe technique (ADBO-APO) for EMS. Photovoltaic (PV) module, battery, and wind turbine are the three sources utilized to establish an effective EMS in a grid-connected system. The ADBO is applied to manage the switching between battery storage and wind turbines. The APO is utilized for triggering the bidirectional DC-DC switch to obtain stable power from wind, PV, and battery. APO enhances EMS by involving perturbation levels for optimal power extraction. It improves the stability and efficiency across variable energy sources. The proposed ADBO-APO achieves a superior average index of 1.2598×104 when compared to the existing method, levy flight quasi oppositional based learning smell agent optimization (LFQOBL-SAO).]]>
<![CDATA[Enhanced torque control in high-speed DTC using modified stator flux locus ]]>
<![CDATA[Zawawi, Syed Abrar S. A.]]>;
<![CDATA[Jidin, Auzani]]>;
<![CDATA[Sabri, Nurul Syahada Muhamad]]>;
<![CDATA[Tarusan, Siti Azura A.]]>;
<![CDATA[Sutikno, Tole]]>
<![CDATA[ International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijpeds.v16.i1.pp457-463
<![CDATA[This paper proposes a modification of stator flux locus in direct torque control (DTC) of induction machine, aiming to enhance torque capability during steady-state operation at high speeds. The modified flux locus maintains the simplicity of the original DTC structure and its advantages of rapid torque and flux dynamic control. However, DTC faces challenges in controlling motor torque at high-speed operations. This study addresses the limitation of the traditional circular flux locus, which limits the angular frequency of stator flux to increase further and hence causes control of torque deteriorates at high speeds. By modifying the stator flux locus from a circular to a hexagonal shape by adjusting flux hysteresis band, this can improve torque control during high-speed motor operation. This finding has potential applications in industrial and electric vehicle sectors that demand enhanced torque control for high-speed motor operations.]]>
