Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,939 Article Results

Development of random pulse width modulation technique for voltage source inverter drives

10.11591/ijpeds.v16.i1.pp642-656
Quoc Dat Luong , Manh Duc Nguyen , Minh Khoi Huynh , Phu Cong Nguyen , Quoc Dung Phan
In this research, the structure selection of the carriers in the implementation of random pulse width modulation (RPWM) method for single-phase voltage source inverter (VSI) drives is specified by a 16-bit binary sequence. Subsequently, the genetic algorithm (GA) is used to find the solution of the optimal sequence allowing the output voltage signal to achieve the minimum total harmonic distortion (THD). In addition, the harmonic spreading factor (HSF) is further analyzed to evaluate the acoustic noise and electromagnetic interference (EMI) of the operation of electromechanical system. Finally, through hardware testing process, the simulation results are validated in order to ensure the reliability of our research findings. The main components of this testing process are LAUNCHXL-F28379D utilized to generate controlling pulses for the modules insulated gate bipolar transistors (IGBT), and two EVAL-1EDI60I12AF gate driver modules for realizing the full-bridge inverter.
Volume: 16
Issue: 1
Page: 642-656
Publish at: 2025-03-01

Enhanced reaching law for improved response in sliding mode control of PMSM motors with fuzzy logic integration

10.11591/ijpeds.v16.i1.pp418-430
Khanh Quoc Truong , Son Huynh , Dung Hoang Vo , Minh Duc Pham
The rising demand for high-performance permanent magnet synchronous motors (PMSMs) is responsible for the development of PMSM speed control. Although the proportional-integral controller is often used in field-oriented control (FOC) for motor speed regulation, it has drawbacks like slow response and instability. This paper proposed an enhanced sliding mode controller with a modified sliding surface to achieve better speed control performance. In comparison to proportional-integral or PI controller, fuzzy logic controller, conventional sliding mode controller, the proposed control approach uses a reaching law that incorporates a fuzzy logic controller. A smoother and faster response time is targeted by the proposed approach compared to conventional sliding mode control. Practical small-scale PMSM experiments certify the effectiveness of our proposed enhanced sliding mode control.
Volume: 16
Issue: 1
Page: 418-430
Publish at: 2025-03-01

Modular multi-input converter design for hybrid energy storage system used in traction power substation

10.11591/ijpeds.v16.i1.pp369-379
Chuen Ling Toh , Ching Sin Tan , Chee Wei Tan
Hybrid energy storage system (HESS) which consists of battery and supercapacitor is proposed to store bulk regenerative braking energy for future traction power substation. This system aims to optimize energy utilization and enhance the sustainability of rail transport. To facilitate bidirectional power flow between the traction network and the HESS, this paper introduces a modular multi-input converter (MMIC) to dynamically transfers during both braking and acceleration phases of train operation. The proposed MMIC operates in multiple modes, allowing for seamless energy exchange between the battery and supercapacitor, thus minimizing the depth of discharge of the battery and extending its lifespan. A comprehensive theoretical analysis of the MMIC is presented, detailing its four distinct operating modes. Additionally, simulation model of a 1.5 kV traction power substation with 500 kWh HESS is developed to validate the performance of the MMIC during steady-state operation. The findings demonstrate significant improvements in energy recovery and storage capabilities, underscoring the potential of the HESS to support future traction power substations in achieving higher efficiency and sustainability.
Volume: 16
Issue: 1
Page: 369-379
Publish at: 2025-03-01

Experimental validation of two voltage regulation strategies for boost converters in wind systems

10.11591/ijpeds.v16.i1.pp509-518
Belkasem Imodane , Mohamed Benydir , Brahim Bouachrine , Mohamed Ajaamoum , Kaoutar Dahmane
This study provides an experimental validation of two advanced control methods, sliding mode control (SMC) and fuzzy logic control (FLC) for regulating the DC bus voltage in a permanent magnet synchronous generator (PMSG) wind turbine system using a boost converter. Initially, MATLAB/Simulink simulations are used to assess the system's behavior in an ideal environment, where various operating conditions and disturbances are modeled to test the robustness of the control algorithms. Subsequently, real experiments are conducted using a physical prototype of a boost converter and a LAUNCHXL-F28069M DSP board to evaluate the system's behavior under real-world scenarios. The evaluation focuses on system stability, tracking accuracy, and response time under various wind turbine operating conditions. The experimental results reveal that SMC outperforms FLC in terms of rapidity, precision, and hardware implementation. Additionally, SMC offers significant advantages in achieving superior performance metrics, such as improved dynamic response and enhanced overall system stability, making it a more effective choice for practical wind energy applications. This experimental validation simplifies the selection of optimal control strategies for wind energy systems.
Volume: 16
Issue: 1
Page: 509-518
Publish at: 2025-03-01

Analysis and implementation of peak armature current (Imax) of a chopper-fed DC-DC motor drive in DCM

10.11591/ijpeds.v16.i1.pp96-105
Mohamad Nazir Abdullah , Muhammad Hafeez Mohamed Hariri , Mohd Khairunaz Mat Desa , Mohd Nadzri Mamat , Suardi Kaharuddin
At low frequencies of operation in a chopper-fed direct current (DC) motor drive, the armature current may become discontinuous thus the controller operates in discontinuous conduction mode (DCM). Since the minimum armature current is zero in DCM, the analysis of peak armature current (Imax) is to investigate the ripple content in armature current at different values of duty cycle which will help in decreasing the peaky current of DC motor during operation. The simulation was carried out using MATLAB-Simulink software and the laboratory setup was based on Atmega 328 microcontroller board. In this paper, the theoretical and experimental analysis of peak armature current were performed at fix low frequency in DCM and variable duty cycles to provide full control of DC motor speed. The results show that the peak armature current changes with the change of duty cycles and its magnitude is decreased almost 50% at higher duty cycle values.
Volume: 16
Issue: 1
Page: 96-105
Publish at: 2025-03-01

Comparing multi-control algorithms for complex nonlinear system: An embedded programmable logic control applications

10.11591/ijpeds.v16.i1.pp212-224
Sochima Vincent Egoigwe , Asogwa Tochukwu Chijindu , Lois Onyejere Nwobodo , Onuigbo Chika Martha , Frank Ekene Ozioko , Ozor Godwin Odozo , Ebere Uzoka Chidi
This paper examines the impact of multiple control algorithms, such as genetic algorithm (GA), artificial neural network (ANN), and proportional integral derivative (PID), on programmable logic controller (PLC) performance during a nonlinear thermodynamic process. The ANN was trained with data that modeled the thermodynamic process and then generated the control algorithm. GA was improved by applying the counter-premature algorithm (CPA) to address issues of pre-mature convergence, while the PID presents the current algorithm used to optimize the PLC in the existing testbed. Experimental evaluation of these models against the process set-points showed that all the algorithms were able to reject disturbance and follow the reference set points under different step changes, but each algorithm experienced different internal behaviors while trying to reject disturbance. Lastly, the result showed that while the improved GA was better than the PID, with a recorded slight overshoot due to the uncertainties of the thermodynamic process, the ANN achieved better control performance in terms of system stability than the other counterpart algorithms.
Volume: 16
Issue: 1
Page: 212-224
Publish at: 2025-03-01

Battery management system using Jaya maximum power point tracking technique

10.11591/ijpeds.v16.i1.pp622-632
Muhammad Hasbi Azmi , Ayman Nurshazwan Abdul Rashid , Siti Zaliha Mohammad Noor , Muhammad Murtadha Othman , Suleiman Musa , Pusparini Dewi Abd Aziz
This paper introduces the development of a battery management system (BMS) utilizing the Jaya-based maximum power point tracking (MPPT) technique. Previous studies have combined various MPPT techniques with switching methods, each having its pros and cons. Traditional MPPT methods are common but have limited performance. Therefore, artificial intelligence (AI)-based approaches are introduced to enhance and reduce the limitations faced. The Jaya technique is straightforward and easy to implement, making it an attractive choice for MPPT in photovoltaic systems. It is recognized for its effectiveness in eliminating the worst solutions and identifying the best solution with only a few control parameters required for operation. The proposed work aims to develop a BMS using a DC-DC buck converter and the Jaya MPPT technique. The objective is to find the MPP to achieve the desired performance level and ensure the effectiveness of maintaining battery quality, preventing overcharging or undercharging. The system is modeled in MATLAB/Simulink. The findings indicate that the Jaya MPPT demonstrates a tracking speed of less than 1 second to locate the maximum power point (MPP). Furthermore, the BMS is capable of monitoring changes in state of charge (SoC) to determine whether the system is in charging or discharging mode.
Volume: 16
Issue: 1
Page: 622-632
Publish at: 2025-03-01

Single-stage transformer less multilevel boost inverter with zero leakage current for PV system

10.11591/ijpeds.v16.i1.pp673-682
Dalya Hamzah Al-Mamoori , Shahrin Md Ayob , M. Saad Bin Arif
Transformer less inverters (TIs) are highly efficient and have a high power density, making them a popular choice for grid-connected solar PV applications. However, certain topologies can lead to high-frequency common-mode voltage (CMV), which can cause issues such as high leakage current, electromagnetic interference, and an absence of safety. Our newly developed inverter is designed to be more efficient, cost-effective, and compact than traditional types while also addressing the issue of leakage current. This architecture eliminates leakage current by directly connecting the grid's neutral terminal to the PV's negative polarity, resulting in a low leakage current. Moreover, the inverter increases output voltage using only one voltage source and a few power devices, making it a cost-effective solution. Its modular form allows for an increase in output levels, further enhancing its cost-effectiveness. We conducted a comprehensive mathematical examination, and the MATLAB/Simulink results demonstrate its ability to increase the output voltage, eliminate leakage current, and maintain acceptable output voltage THD and current waveforms. These results and the inverter's safety features showcase significant improvements over traditional inverters and provide a secure and reliable solution for grid-connected solar PV applications.
Volume: 16
Issue: 1
Page: 673-682
Publish at: 2025-03-01

Long-range radio and Internet of things-inspired smart road reflectors for smart highways

10.11591/ijra.v14i1.pp113-120
Rajesh Singh , Anita Gehlot , Shaik Vaseem Akram , Vivek Kumar Singh , Mohammed Ismail Iqbal , Rahul Mahala
The Internet of things (IoT) has been proven as an efficient technology for real-time monitoring of physical things through the Internet from any location. With the advancement in sensors and communication technologies, the implementation of IoT is adopted in wide extensions. Road reflectors on highway roads need to be automated and also powered with intelligence. With this motivation, we have proposed and implemented IoT and long range (LoRa) based architecture for the realization of smart road reflectors on the highway. To realize the proposed architecture, the hardware of the smart reflector and gateway is implemented on the university campus. During our implementation of the hardware, we observed the light intensity values that are sensed by smart reflectors on the server through LoRa and internet connectivity. In the future, we will be integrating additional sensors and also power the smart reflector with artificial intelligence to predict the fog status of a particular road.
Volume: 14
Issue: 1
Page: 113-120
Publish at: 2025-03-01

Solar tracker using Arduino microcontroller and light dependent resistor

10.11591/ijpeds.v16.i1.pp70-75
Kalagotla Chenchireddy , Gouse Basha Mulla , Vadthya Jagan , Waseem Sultana , Shabbier Ahmed Sydu , Eswaraiah Giddalur
This paper presents a dual-axis solar tracker using Arduino and LDRs. The aim of the proposed paper is to enhance the competence of solar energy harvesting by developing an intelligent solar tracking system. This system employs light-dependent resistors (LDRs) as sensors to detect ambient light levels, enabling precise adjustments of solar panels along both azimuth and elevation axes. The Arduino microcontroller serves as the intellect of the system, orchestrating the synchronized movement of dual-axis servo motors to align solar panels optimally with the sun's point during the day. The core functionality of the solar tracker involves real-time monitoring of LDR readings to calculate the solar azimuth and elevation angles. These angles are then used to situation the solar panels dynamically, ensuring they are constantly oriented near the sun for maximum energy absorption. The implementation of the dual-axis solar tracker using Arduino and LDRs offers several advantages, including increased energy output, better system efficiency, and a reduction in dependency on fixed solar installations. The low-cost and adaptable nature of the proposed system makes it suitable for various applications, such as residential solar installations, off-grid power systems.
Volume: 16
Issue: 1
Page: 70-75
Publish at: 2025-03-01

Model predictive control-based DC overcurrent protection method for 400 Hz ground power unit

10.11591/ijpeds.v16.i1.pp472-484
Son Tran Que , Vuong Nguyen Anh , Diep Huynh Van , Dich Nguyen Quang , Trung Nguyen Kien
This paper presents a new configuration of 400 Hz inverters designed for ground power units (GPU) in the aerospace field. In this model, instead of using rectifiers fed by the AC electric grid, a lithium battery system is employed due to its advantages, especially in improving the flexibility and reliability of the power supply. A model predictive control (MPC) strategy with the extended cost function is proposed for the current loop, which is expected to restrict the DC current avoiding the battery overcurrent that causes the system interrupted by the battery management system (BMS), improving the overall system dynamic. The mathematical relationship between battery current and inductor current has also been derived to support the design of the MPC controller. A proportional resonant (PR) controller is performed for the outer loop to control fundamental voltages, and compensate for the harmonic distortions. A comprehensive simulation model is initially created in the MATLAB environment and subsequently validated through hardware-in-the-loop (HIL) testing to assess the performance of the proposed control technique. The results obtained demonstrate the effectiveness of the control scheme in terms of DC-link battery current being controlled at an acceptable value, high-quality voltage is provided at the output with harmonic distortions compensated by PR controller.
Volume: 16
Issue: 1
Page: 472-484
Publish at: 2025-03-01

Integrated proportional-integral control for enhanced grid synchronization and power quality in photovoltaic-electric vehicle systems

10.11591/ijpeds.v16.i1.pp25-34
V. G. Mahalakshmi , K. Gopala Reddy , C. Shakunthala
Photovoltaic (PV)-grid with electrical vehicle penetration introduces harmonics to the main power system. This paper explores the disturbances introduced due to both PV and electric vehicles (EVs) in the grid. PV acting as the source and EV acting as both the load and the source introduces harmonics to the main grid. The combined harmonics from both the PV and EV are controlled using the integrated DQ controller on the voltage source converter (VSC) that connects to the grid from the PV source. The real and reactive power is controlled in a decoupled manner to obtain better control of the harmonic reduction introduced in the grid. This study investigates the use of proportional-integral (PI) control techniques to develop an integrated controller that can effectively handle both PV synchronization and power quality when using electric vehicles. To reduce harmonics in the grid current, the study combines multicarrier space vector pulse width modulation (SVPWM) with PI control on the grid-connected converter through a dual-control loop system devoted to PV grid synchronization, with one loop specifically addressing EV battery charging control. DQ method yields a total harmonic distortion (THD) of 2.74% for voltage and 3.44% for current according to the IEEE 519 standards.
Volume: 16
Issue: 1
Page: 25-34
Publish at: 2025-03-01

Control of shunt active power filter for power quality improvements with PV system using MPC approach

10.11591/ijpeds.v16.i1.pp278-286
Larouci Heguig , Nadhir Mesbahi , Yacine Guettaf
The major issue facing the electrical grid is the excessive use of non-linear loads, which pull distorted (non-sinusoidal) current from the grid. Considering this constraint, the objective is to remove any harmonic currents from the grid. The active filtering method has been selected, particularly focusing on the use of the shunt active filter, which provides numerous benefits. Therefore, in order to achieve effective harmonic compensation, a suitable and resilient control system is necessary for the shunt active filter. The system outlined in this study comprises a photovoltaic generator connected to the distribution electrical grid via a shunt active filter in order to simultaneously ensure the injection of renewable power generated by the photovoltaic generator into the grid and the improvement of the electrical energy quality. In this study, a model predictive current is introduced for shunt active power with fuzzy logic control to optimize the tracking of the maximum power point for the photovoltaic generator. The system was studied under various conditions, and the simulation was carried out using MATLAB/Simulink on the entire system.
Volume: 16
Issue: 1
Page: 278-286
Publish at: 2025-03-01

Isolation of hydrogen from water and its utilization as a co-fuel for trucks into fuel-efficient vehicles

10.11591/ijpeds.v16.i1.pp1-9
Sittichot Kradang-nga , Pongsakorn Kachapongkun , Thee Chowwanonthapunya
This research focused on the separation of hydrogen gas from water and its utilization as a supplementary fuel blended with the primary fuel of an internal combustion engine. The test was divided into two steps: evaluating the energy efficiency of the electrolyzer and conducting experiments on pickup trucks (common rail diesel engine, 2,499 cc) to determine energy savings and pollution emission. The results showed that the efficiency of the electrolysis system with an average electricity consumption of 125.74 W was 84.83 kWh/kgH2 and the theoretical efficiency of the electrolyzer in separating hydrogen gas from water was 45.97%. Results from the test on a pickup truck using 100% diesel fuel and hydrogen-diesel dual fuel with loads of 1,850 and 2,100 kg over a distance of 11 km showed that using a hydrogen-diesel dual system resulted in fuel savings of 27.8% and 16.70%, as compared to that of using pure diesel fuel system. Besides, levels of black smoke, PM2.5, and PM10 of the hydrogen-diesel dual fuel system were lower than those of the pure diesel fuel system.
Volume: 16
Issue: 1
Page: 1-9
Publish at: 2025-03-01

Internet of things (IoT) based monitoring system for hybrid powered E-bike charging station

10.11591/ijpeds.v16.i1.pp243-250
Mohammad Noor Hidayat , Aji Nugroho , Abdullah Faiq Munir , Ratna Ika Putri
The internet of things (IoT) has become an important foundation in the development of web-based and remote technologies. In the implementation of renewable energy in hybrid E-bike systems, IoT-based monitoring system integration has made a significant contribution to monitoring activities. One of the latest innovations in the development of IoT in E-bike systems is the application of power prediction and the Coulomb counting method to estimate the charging time for a battery with a capacity of 200 AH, so that users can know the time needed to charge the battery efficiently. The IoT E-bike system is designed with user data display and monitoring features via the website, such as data on voltage, current, light intensity, battery percentage, power prediction, and prediction of the resulting battery charging time. Experimental results were obtained during the battery charging period, increasing the battery percentage from 50.43% (10 volts) to 71.769% (11.3 volts) in 4.5 hours with a battery charging charge of 153,866.4 C.
Volume: 16
Issue: 1
Page: 243-250
Publish at: 2025-03-01
Show 242 of 1996

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration