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International Journal of Power Electronics and Drive Systems (IJPEDS)
Published by Institute of Advanced Engineering and Science
ISSN : -     EISSN : 20888694     DOI : -
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
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.
Arjuna Subject : -
Articles 61 Documents
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Search results for , issue "Vol 14, No 4: December 2023" : 61 Documents clear
Artificial intelligence-enhanced DTC command methods used for a four-wheel-drive system Max, Ndoumbé Matéké; Eric, Njock Batake Emmanuel; Maurice, Nyobe Yomé Jean; Jordan, Mouné Cédric; Moise, Manyol; Georges, Olong; Biboum, Alain
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp1983-1994

Abstract

This paper presents an artificial intelligence direct torque control (DTC) method for an electric vehicle (EV) drive system. The architecture of the proposed electric vehicle is that of four wheels each with an induction motor (IM). A comparative study of the different torque and speed controllers proposed in this paper is made. An electronic differential is used to control the speed of each wheel as well as a variable master-slave control (VMSC) for the management of the magnetic quantities because the motors on the same side are fed by the same converter. This study allows highlights the performance of the propulsion system in terms of dynamics and safety of the vehicle and better stability. The different controllers are implemented by the MATLAB/Simulink software and the simulation results obtained show better flexibility in the control of the vehicle. It is worth noting that direct torque control with fuzzy logic (DTFC) performs better than DTC associated with neural networks in terms of a time reduction increase of 1.47%, an overshoot of less than 5.33, and a static steady-state error close to zero.
Fuzzy logic control based MPPT for standalone photovoltaic system with battery storage Taib, Nur Syafiqah Mohd; Noor, Siti Zaliha Mohammad; Musa, Suleiman; Aziz, Pusparini Dewi Abd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2527-2536

Abstract

Considering its favorable characteristics, photovoltaic energy is widely recognized as highly beneficial to the environment. To achieve continuous maximum output power across the PV system, an efficient control strategy is developed after studying several maximum power point detection (MPPT) techniques. Consequently, this paper presents a useful control technique for maximizing power extraction from PV systems under varying conditions. The paper focuses on the design of a fuzzy logic control (FLC)-based maximum power point tracking (MPPT) system for a standalone photovoltaic (SAPV) system with battery storage. The FLC is employed to extract the maximum power from a PV module and integrate it with the battery to supply the load. The FLC offers advantages over conventional MPPT methods, such as accurate and rapid response to changes in environmental conditions, including solar irradiance and temperature. The PV system exhibits low total harmonic distortion (THD), making it ideal for household appliances, and can deliver 230 Vrms of single-phase output AC power. The system is designed and implemented in MATLAB/Simulink, incorporating a solar module, DC-to-DC converters, battery storage, and an inverter for supplying AC loads. Simulation results for selected test conditions are presented and discussed. The system performance is evaluated through steady state tests and dynamic tests in simulations.
Performance inspection of high gain chopper designed to extract optimum output of photovoltaic source Akter, Khadiza; Motakabber, S. M. A.; Alam, A. H. M. Zahirul; Yusoff, Siti Hajar; Ahmed, Sajib; Annur, Tania
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2204-2216

Abstract

In recent years, the demand for power consumption has increased rapidly to fulfill the energy needs of households and industries worldwide. Solar electricity has emerged as the most practical form of renewable energy in this context. Due to its distinctive qualities such as being clean, quiet, and sustainable. Here, the study and analysis of a non-isolated high-gain chopper for solar photovoltaic (PV) systems are presented, which includes a quadratic cell and voltage doubler circuit (VDC). To ensure the utmost power produced by the solar system, the perturb and observe (P&O)-based maximum power point tracking (MPPT) algorithm is utilized. A quadratic VDC and a DC-DC boost converter are used to raise the PV voltage to a higher level (3.6 times higher with an MPPT controller, and 8 times higher with a battery source). The proposed converter exhibits notable improvements in efficiency, achieving an impressive 94%, which outperforms other state-of-the-art topologies. Additionally, the converter showcases a significant boost in voltage conversion gain, thereby substantiating its efficacy and superiority over other advanced topologies. Furthermore, comparatively less voltage stress on the switch with reduced voltage and current fluctuation increased the conversion effectiveness of the proposed configuration. Performance verification of the proposed topology is obtained by employing PSIM and MATLAB/Simulink.
Evaluation of energy management system of a hybrid energy source in EV Touileb, Rachid; Abbou, Ahmed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp1911-1918

Abstract

This paper presents a comparative study of different energy management strategies and technologies of fuel-cell hybrid electric vehicles integrating a proton exchange membrane fuel cell device in addition to a lithium-ion battery as a secondary energy source. Therefore, an experimental analysis is carried out to seek the successful hybrid powertrains considering the hydrogen utilization in fuel cells and state-of-charge regulation in Li-ion batteries. Different approaches were simulated using a developed vehicle simulator in MATLAB/Simulink. The simulations were performed using three standard driving cycles in which a second study based on energy management strategies tested was presented and analyzed. Simulation’s results show the superiority and economic success of the proposed technology and method, especially the FSBS and MEPT management strategies due to the successful use of the sources and the significant optimization in terms of hydrogen consumption while maintaining optimal Li-ion battery usage.
A 1.8 V, 10 mA low dropout voltage regulator for IoT application in 90 nm CMOS technology EL Mouzouade, Said; EL Khadiri, Karim; Tahiri, Ahmed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2301-2306

Abstract

A complementary metal-oxide-semiconductor CMOS low dropout voltage regulator (LDO) design flow using 90 nm CMOS technology is described and simulated in this paper. The circuit consists of an analogue LDO with using PMOS pass device, an error amplifier, a bandgap voltage, a biasing circuit, a feedback resistive network sized to have the desired closed loop gain. This LDO was designed to maintain stable voltage at 1.8 V and 10 mA of current output in low resistive load. The LDO regulator achieves 105 uA quiescent current, -47 PSRR@13 KHz noise frequency. The final design occupies approximately 0.05 mm2. The results were satisfying and make the designed circuit suitable for IoT application.
Application of EV aggregators and SMES for frequency deviation control using fractional fuzzy controller Tripathy, Sabita; Debnath, Manoj Kumar; Kar, Sanjeeb Kumar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2457-2463

Abstract

Secondary controllers are implemented in the alternator control loop to take care of the swinging of frequency initiated due to inequality of load and demand. A fractional fuzzy-PID controller (FFPID) is projected in this work for frequency deviation control in unified system including EV aggregators and superconducting magnetic energy storage (SMES). EVs and SMES are given primacy because of their ecofriendly nature. Proper adjustment of gains of FFPID is also required to extract the best performance of the secondary controllers. Here a recent tuning process named as artificial rabbits optimization (ARO) is applied for proper tuning of projected controller. The implemented dual area power system includes time varying delay-based EV aggregators, SMES, and thermal generating units. The ARO technique is applied in the model to tune the controller constraints with abrupt increment of demand in one of the control areas. A time-based function is treated as fitness function to evaluate the system performance. The dominance property of the projected FFPID controller over conventional PID and FPID controller in terms of different response specifications like maximum positive deviation (overshoot), settling time and minimum negative deviation (undershoot). The robust nature of the projected controller is also confirmed by multiple analysis like random load deviations and system constraint alteration.
An intelligent PID controller tuning for speed control of BLDC motor using driving training-based optimization Sarma, Hrishikesh; Bardalai, Aroop
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2474-2486

Abstract

Tuning of proportional-integral-derivative (PID) controller remains a matter of great concern for the control engineers as it plays a major role to obtain optimal performance of any system Due to their simplicity and excellent efficiency, metaheuristic algorithms have recently become extremely popular among researchers for handling a wide range of real-world optimization challenges. In order to optimize a PID controller for managing the speed of a BLDC motor, this work proposes a novel application of the driving training-based optimization (DTBO) algorithm, one of the latest and most recent human-based metaheuristic algorithms. The purpose of this present study is to optimize a PID controller for a BLDC motor speed control by DTBO method and evaluate its performance with a similar controller tuned by grey wolf optimization (GWO) method. Additionally, the suggested DTBO-PID controller's robustness analysis is being carried out with BLDC motor parameter modifications as well as a comparison to the GWO-PID controller. The comparison is carried out in MATLAB/Simulink, and the results are based on common step response metrics such rise time, settling time, and maximum overshoot. For easier comprehension, the results are presented in tabular and graphical form. The chosen BLDC motor drive system's selected DTBO-PID controller performs better and is more reliable than the GWO-PID controller, according to the final simulation findings.
Grid power control of direct matrix converter fed three-phase induction generator Al-Khayyat, Ali Salam; Kadhem, Human Qahtan; Hameed, Mustafa Jameel
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2240-2253

Abstract

The direct matrix converter (DMC) and the modulation technique were presented in this paper, moreover the power of the grid is controlled. Due to its high flexibility and low computation demands, the DMC's most widely used modulation technique is space vector modulation. The double-side modulation is used in this paper instead of the single-side modulation because less harmonics at the input and output side can be obtained, however this would increase slightly the number of branch-switch-overs (BSO) for each switching period. In addition to being able to create input and output sinusoidal currents with various frequencies, it would adjust the input power factor. Along with that, the simple power control loop would regulate the grid power and then generate controlled three-phase reference signals for pulses generation accordingly. Results from the simulations show that the topology is appropriate for machine drive applications.
The 1.5 bit-per-stage 10-bit pipelined CMOS A/D converter for CMOS image sensor Menssouri, Aicha; El Khadiri, Karim; Tahiri, Ahmed
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2273-2282

Abstract

This paper presents a 1.5-bit/stage pipeline analog-to-digital converters (ADC) with a 100 MHz operating frequency for CMOS image sensors built using TSMC 90nm CMOS technology. The design features a novel architecture including a comparator, CMOS transmission gates, a sub-ADC logic circuit, bootstrap switches, and a gain-boosted fully differential telescopic op-amp based switched-capacitor MDAC. The ADC operates on a 1.8 V power supply, with a typical power dissipation of 1.632 mW, and a full-scale input signal voltage of 0.8 V. At 100 MHz sampling frequency, it achieves a maximum ENOB of 12.42 bits, an SNR of 76.53 dB, and a FOM of 0.297 pJ/conversion step. This 1.5-bit/stage pipeline ADC is well-suited for CMOS image sensors.
Experimental validation of quadratic-boost-zeta converter based on coat circuit Ali, Ahmed Mahmood; Hassan, Turki Kahawish
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 14, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v14.i4.pp2183-2194

Abstract

This work proposed a high step-up DC-DC converter with a voltage gain of 12 at a duty cycle of 48.25% with a single active switch. The new design combines the quadratic-boost converter and an isolated zeta converter with a single-stage coat circuit by a transformer with a trans ratio of 2.3. This can result in low voltage stress on switch and diodes with low conduction losses without using an additional clamp circuit, which in turn causes an increase in total efficiency. It has continuous and low ripples in the input and output currents. The voltage conversion ratio and the component voltage stresses are calculated in continuous conduction mode (CCM). The prototype was constructed and tested practically while considering an input voltage of 30 V, an input power of 240 W, an output voltage of 360 V, and a switching frequency of 100 kHz to validate the theoretical evaluations. The maximum efficiency at maximum output power is 94.5%.

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