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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 2,660 Documents
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Tire strain piezoelectric energy harvesters: a systematic review Ibrahim Ali Hameed Al-Najati; Keng Wai Chan; Swee-Yong Pung
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp444-459

Abstract

Intelligent tires are regular tires with additional sensors attached to measure different parameters, such as pressure, temperature, and tire dynamic condition. Sensors mounted inside tires are usually powered by batteries. An alternative power source for these sensors is piezoelectric energy, which uses piezoelectric patches that can be mounted close to the sensors inside vehicle tires. Piezoelectric energy is a battery-less energy source with a long lifespan and environmentally friendly characteristics. This paper presents a comprehensive review of piezoelectric energy harvesters that harvest vehicle tire strain and convert it to electrical energy to power inner tire sensors. The aim of this review was to characterize the possible available tire piezoelectric strain energy harvesters and their advantages and challenges for each type, shape, and material used by researchers so far. The related articles were categorized according to the installation method of the harvester inside the vehicle tire. The four categories are inner tire treadwall, tire bead–rim interface, tire inner sidewall, and tire bead. The maximum power generated was 2300 mW from a treadwall tire strain piezoelectric harvester. Ten challenges were mentioned and classified into three main groups: host environment, installation method, and scavenging system.
NPN Sziklai pair small-signal amplifier for high gain low noise submicron voltage recorder Sachchida Nand Shukla; Syed Shamroz Arshad; Geetika Srivastava
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp11-22

Abstract

Small signal-to-noise ratio (SNR) and multiple noise sources, coupled with very weak signal amplitudes of bio signals make brain-computer interface (BCI) application studies a challenging task. The front-end recorder amplifiers receive very-weak signal (few μV) from high impedance electrodes and for efficient processing of such weak and low frequency (
Adaptive charging control using ANN-PID controllers on multiple DC loads with varying battery voltages Indhana Sudiharto; Farid Dwi Murdianto; Ayu Wulandari
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp620-630

Abstract

Various rechargeable electronic devices currently have batteries with different capacities and voltages, while the available chargers are generally fixed for one device. This is considered less effective because different types of electronic devices will require different battery chargers. Therefore, the adaptive power charge is needed to recharge batteries with different voltages and capacities through a single port by adjusting the type of load connected. This system uses buck converter with duty cycle settings through microcontrollers to lower the input voltage to variable output voltage. When the load is connected, the limit switch will be depressed and the system will start the duty cycle tracking process. The voltage will be increased gradually until the current is read at a certain value to identify the load. After the current reads the duty cycle stops tracking, then the current and voltage characteristics are used as input variables for the artificial neural network (ANN) algorithm to determine the target setpoint voltage to be executed by the proportional, integral and derivative (PID) controller. The designed adaptive power charge can identify the connected load accurately. The average ANN output error is 1.46e-4% and the average PID controller error is 6.4e-2%. The system can reach a steady state at 0.01 s.
Motor fault detection using sound signature and wavelet transform Emad Awada; Aws Al-Qaisi; Eyad Radwan; Mutasim Nour
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp247-255

Abstract

The use of induction machines has gained fast popularity in many aspects of today’s energy applications and industrial productions. However, just as with any other machine, failure is expected due to a variety of faults in component and system levels. Therefore, it is necessary to improve machine reliability by performing preventive maintenance and exploring faulty indications in advance to avoid future failures. In normal operation, a distinct machine sound signature can be identify. Therefore, at any faulty operation, diagnosis of potential error can be defined based on output signature sound data analysis. Yet, this process of monitoring induction machine sounds and vibration can be hectic and extensive in terms of collecting data and compiling analysis. That is, a huge number of data samples need to be collected and stored in order to define abnormality operation. Therefore, in this work, wavelet-based algorithms were developed as an analysis process to analyze collected data and identify abnormality, with much fewer data samples and compiling process, as special prosperity of wavelet transform. As a result, MATLAB codes were implemented to analyze data based on sound signature technique and wavelet transform algorithms to show a significant improvement in identifying potential error and abnormality conditions.
Optimized proportional-integral controller for a photovoltaic-virtual synchronous generator system Rauof Fadhil Edan; Ali Jafer Mahdi; Thamir Mohammed Abdul Wahab
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp509-519

Abstract

Due to the lack of a physical rotating rotor, the photovoltaic generators (PVG) have no inertia. Therefore, replacing traditional synchronous generators (SG), (source of inertia), with PVG will reduce the inertia of overall power systems. A reduced inertia and damping feature will frequently cause instability issues due to high rate of change of frequency (RoCoF), and less stringent voltage at the nearby point of common coupling (PCC). In this paper, the concept of virtual synchronous generators (VSG) is adopted in to couple the source with the grid frequency in order to provide virtual inertia. This is created by using energy storage for short time, direct current (DC) to alternating current (AC) converter, and a suitable control mechanism. In implementing VSG, the important aspects to focus on are reducing the fluctuation of DC-link voltage, stabilize the frequency and voltage, and power flow. So, the particle swarm optimization (PSO) algorithm was used to adjust the parameters of proportional integral (PI) controller by reducing the error of the current controller and voltage regulator in the VSG controller. The simulation results illustrate the advantages of the PI tuning using PSO, where the overshoot is decreased by 68.9% and the settling time is decreased by 34% due to load fluctuations.
Enhanced DTC induction motor drives for THD minimization performance improvement with multilevel inverter Siong Kai Chien; Sy Yi Sim; Wahyu Mulyo Utomo; Sie Long Kek; Farahiyah Mustafa; Nor Aira Zambri; Alvin John Lim Meng Siang; Gia Yi Sim
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp93-101

Abstract

Direct torque control (DTC) is a method applied in induction motor (IM) drives to control the speed and torque of IM accurately and independently without feedback signal. However, in fast fourier transform (FFT) analysis, the total harmonic distortion (THD) of the IM drives is high in DTC method with conventional inverter (CI). Therefore, the purpose of this study is to minimize the THD without affecting the drive’s performance. A DTC IM drive with multilevel inverter (MLI) is proposed in this study to reduce THD and preserve good speed and torque response of IM simultaneously. DTC IM drive with proposed MLI based THD minimization has several advantages over the DTC IM drive with CI, including higher generated output voltage with low distortion, operate under low switching frequency, and work with renewable energy. In order to prove the effectiveness of the proposed MLI based THD minimization in DTC IM drive, MATLAB Simulink is used to investigate the response of the IM drive and THD under different operating condition. From this study, proposed MLI based THD minimization DTC IM drive is able to reduce THD with a maximum of 13% in low speed operation as compared to DTC IM drive with CI.
Modeling and analysis of solar-powered electric vehicles Mandakuriti Nivas; Rambilli Krishna Prasad Rao Naidu; Debani Prasad Mishra; Surender Reddy Salkuti
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp480-487

Abstract

The emission of greenhouse gasses from transportation vehicles is one of the most alarming environmental threats and the emission of these gases is mounting at a distressing pace. Limited fossil fuel resources are also a threat to the automobile industry. This work aims to describe the solar-powered electric vehicle (SPEV) as the key to solving the downside of fuel and pollution. A battery is used in an electric vehicle (EV) which is charged from both external power supply and also from photovoltaic (PV) panels which absorb radiation from the sunlight and generate electrical power. A maximum power point tracker (MPPT) controller is employed to track the utmost power. A buck-Boost converter is utilized to amplify the DC voltage procured from the photovoltaic module and then the boosted output is transmitted to a three-phase voltage source inverter (VSI). VSI is used to transform the solar DC voltage to AC voltage and feeds the brushless direct current (BLDC) motor which controls vehicle applications.
The performances of partial shading adjuster for improving photovoltaic emulator Razman Ayop; Chee Wei Tan; Syed Norazizul Syed Nasir; Mohd Zaki Daud; Lau Kwan Yiew; Norjulia Mohamad Nordin; Abba Lawan Bukar
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp528-536

Abstract

A photovoltaic (PV) emulator (PVE) is essential equipment for the research and diagnostic of PV generation. It is a convenient, highly efficient, and low-cost approach when compared to controllable light sources. Nonetheless, the implementation of the partial shading capability in a PVE is highly limited in terms of efficiency, computation burned, number of power converters, and flexibility to change in the ambient condition. This paper proposes a partial shading adjuster for a PVE that can overcome the aforementioned limitations. The adjuster is applicable to the conventional PVE since it is based on an algorithm that can be added to the controller of the PVE. By adding the adjuster, the conventional PVE can emulate partial shading. The partial shading adjuster is added into a PVE that uses the direct referencing control strategy with the buck controller regulated by the proportional-integral controller. The results show that the PVE maintains its accuracy and produces a stable output voltage and current during the load changes when the adjuster is added. In conclusion, the proposed partial shading adjuster able to improve th
Novel deadbeat predictive control strategy for DFIG’s back to back power converter Manale Bouderbala; Badre Bossoufi; Hala Alami Aroussi; Mohammed Taoussi; Ahmed Lagrioui
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp139-149

Abstract

To successfully carry out a wind energy conversion system, it is necessary to simultaneously control the rotor and the grid side. This paper proposes a doubly-fed induction generator's predictive power control. While the powers are controlled indirectly through currents, the latter is controlled using the deadbeat command. Based on discrete-time, the control suggests at each sample period the required voltages to the the-back-to-back converter to reach the desired setpoints, control the powers, and the DC link voltages. For these reasons, a presentation of the system is given first, then a description of the predictive control, followed by applying this strategy on the rotor side control and grid side control. Finally, a random wind profile was applied to analyze the system's performance with a unitary power factor. The simulation results are presented in the MATLAB/Simulink environment using a 1.5 kW DFIG. The results obtained by applying a random wind profile have well fulfilled the objectives of the control and the system robustness is approved by the excellent tracking allowing the machine's internal parameters variation. By comparing the quality and the tracking reference of the proposed control method to other control methods, the deadbeat controller was very promising.
Improving the efficiency of an electric drive with a cylindrical linear alternating current electronic engine Dmitrii Andreevich Chirkov; Aleksandr Dmitrievich Korotayev; Evgenii Aleksandrovich Chabanov
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i1.pp58-67

Abstract

Currently, linear motors find increasingly wide application in various industrial sectors. These motors feature a range of advantages including the absence of compound mechanical power transmissions between a motor and an actuator, simple design, and performance reliability. These advantages determine application of linear motors in electric drive systems of a range of industrial mechanisms including liquid metal and melt transfer units, various transport systems, and metal working and grinding machines. As an illustration, the article addresses submersible cylindrical linear alternating current electronic engines used for rodless oil extraction. Practice shows that the overall efficiency of such units is extremely low. This article is dedicated to the determination of performance and power/angle characteristics of such linear motors, their main energy indicators ???????????????? and efficiency at various supply voltage frequencies. It is shown that ???????????????? at all supply voltage frequencies remains very high, while the efficiency is extremely low. The main way to increase the engine efficiency is to increase the frequency of its supply voltage as much as possible. It is proposed to extend the results obtained to other possible industrial applications of linear electric drives.

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