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29,939 Article Results

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

A novel technique for optimization of BLDC-based dual-motor electric vehicles using adaptive BFO-based PID controller

10.11591/ijpeds.v16.i1.pp10-24
Rajnish Kumar , Amitesh Kumar
This study addresses the imperative for electric vehicle (EV) propulsion systems to operate at higher speeds with effective motor control, given the rapid advancement of EV technology. Specifically focusing on electric 2-wheelers, we aim to enhance their maximum speed range from 45 km/hr to 110 km/hr by optimizing the control strategy of a widely used commercial e-bike from Vespa. Our approach explores the feasibility of employing a dual motor system instead of a single motor, coupled with optimization techniques for a proportional-integral-derivative (PID) controller governing a linear brushless DC (BLDC) motor. Implemented in MATLAB/Simulink, our method offers advantages such as consistent convergence, ease of implementation, and high computational efficiency. By employing bacterial foraging optimization (BFO) along with an adaptive BFO (ABFO) technique to optimize the PID controller, we achieve significantly faster response times compared to conventional BFO methods. These findings underscore the efficacy of our approach in enhancing the speed control and acceleration characteristics of EV propulsion systems, contributing to the ongoing evolution of electric mobility solutions.
Volume: 16
Issue: 1
Page: 10-24
Publish at: 2025-03-01

Battery management system employing passive control method

10.11591/ijpeds.v16.i1.pp35-44
Muhamad Aqil Muqri Muhamad Fahmi , Siti Hajar Yusoff , Teddy Surya Gunawan , Suriza Ahmad Zabidi , Mohd Shahrin Abu Hanifah
A battery management system (BMS) is essential for maintaining peak efficiency and longevity of rechargeable batteries. Conventional battery management system techniques often struggle to monitor, protect, and particularly have difficulties in balancing batteries. The project proposed has introduced a battery management system that employs passive control techniques to address excess energy and overcome these challenges. In the proposed design, a shunt resistor dissipates surplus energy from lithium-ion battery cells into heat following the proposed BMS design. This passive control technique is economically efficient, uncomplicated, and does not require an external power source. A prototype of the proposed BMS design was tested and was able to accurately monitor the battery, dissipate excess energy, and protect the battery while maintaining the cell charge balance. These findings suggest that the proposed BMS has the potential to improve both the effectiveness and longevity of rechargeable batteries.
Volume: 16
Issue: 1
Page: 35-44
Publish at: 2025-03-01

Rounding function-based zero crossing detection for a sensorless BLDC motor control

10.11591/ijpeds.v16.i1.pp106-116
Musa Mohammed Gujja , Dahaman Ishak , Muhammad Najwan Hamidi , Mohamed Salem , Mohamad Nazir Abdullah , Khalil Alluhaybi
Permanent magnet brushless DC (PMBLDC) motors are favored for their low maintenance, high reliability, and efficiency, making them ideal for industrial, domestic, military, aerospace, and robotics applications. Sensor less control is the most preferred technique for PMBLDC motors due to its reliability and cost-effectiveness, eliminating the need for physical sensors. A crucial aspect of sensor less control is accurately detecting the point of zero crossing of the back electromotive force (BEMF) signals. Traditional methods, such as rotor position estimation, input observers, and AI-based strategies, can suffer from high ripples and computational inefficiencies. This paper introduces an approach using the rounding function to determine the point of zero crossing, aiming to enhance precision and reduce computational overhead. The rounding function converts continuous BEMF signals into discrete signals, minimizing ripples and facilitating accurate zero-crossing detection. This method improves detection accuracy while simplifying computation demands. Validation was performed through a MATLAB Simulink simulation and an experiment using the F28379D microcontroller, gate driver, and a six-switch inverter. The results demonstrate the effectiveness of the proposed approach, showing agreement between experimental and simulation outcomes.
Volume: 16
Issue: 1
Page: 106-116
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

Dynamic response analysis of induction motor drive influenced by controller design methods

10.11591/ijpeds.v16.i1.pp129-137
Panuwat Kaewma , Nattapong Pothi , Chawasak Rakpenthai
This paper proposes a comparison study focusing on the dynamic response and tracking accuracy for the induction motor drive system influenced by the controller design methods. Pole-zero cancellation (PZC) and pole placement (PP) methods are commonly used to define the controller gains for motor drive systems, and both methods are verified in this paper. The bandwidth of controllers for both methods is set equally based on the field-oriented control strategy, which consists of current and speed control loops. Furthermore, the test conditions are defined to examine the drive system performance, i.e., i) load torque rapidly changes with the maintained speed and ii) speed changes in no-load and with-load torque conditions to validate the current and speed control loops, respectively. The validation of the drive system performance influenced by the controller design methods is demonstrated by simulation results.
Volume: 16
Issue: 1
Page: 129-137
Publish at: 2025-03-01

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

Harmonic reduction techniques in renewable energy distribution systems using cascaded multilevel inverters: a comparative analysis

10.11591/ijpeds.v16.i1.pp76-85
Nayana Gangadhara , Savita D. Torvi
Penetration of renewable energy in distribution generation increases power quality in the output. The harmonics inherent in the inverters are a major contributor to the power quality issues in the distribution system. Multilevel inverters are used to get rid of the harmonics inherent in the inverter output. Among the multilevel inverter topology cascaded multilevel inverters have taken center stage due to their simple topology and control with lesser components. This paper reviews different multilevel inverter topologies that have led to cascaded multilevel inverter topology and applies pulse width modulation (PWM) techniques to the topology. Phase disposition PWM technique is applied on the cascaded H-bridge multilevel inverter (MLI) topology for 5-level, 7-level, and 9-level inverter topologies. The total harmonic distortion (THD) obtained for these topologies is compared with and without the use of an LC filter in the inverter output. PWM techniques including phase disposition, for five-level, seven-level, and nine-level MLI methods are applied on the cascaded multilevel inverter and results are compared for harmonic reduction in the inverter output.
Volume: 16
Issue: 1
Page: 76-85
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

Comparison of dual isolated converters with flyback converters for bidirectional energy transfer

10.11591/ijape.v14.i1.pp55-63
Rahul G. Mapari , Kishor Bhangale , Sunil Somnath Kadlag , Rakesh Shriwastava
This article demonstrates a proposed technique for improving single-stage rectifiers' power factor (PF) and controlling the load voltage in response to grid voltage and load changes. To alleviate the above problem, this article offers a novel bi-directional continuous switching pulse width modulation (CSPWM) and sinusoidal pulse width modulation (SPWM) based converter that can improve PF and reduce harmonics. This converter is evaluated based on two cases, Case I: CSPWM-based rectification and SPWM-based inversion scheme, and Case II: Rectification and inversion, both operations using the SPWM scheme. The proposed control scheme uses two Bi-directional IGBTs and two diodes, which are bridgeless, do not need a transformer, and are free from the output current sensor. The suggested scheme is simulated using MATLAB/Simulink and implemented on DSPic33FJ64mc802 platforms to validate the effectiveness of the proposed approach using two cases for a 1 KW system. The suggested control scheme provides improved PF, good voltage regulation, and depreciation in harmonics and total harmonic distortions (THD) compared to existing systems that enhance converter performance.
Volume: 14
Issue: 1
Page: 55-63
Publish at: 2025-03-01

Field programmable gate array simulation and study on different multiplexer hardware for electronics and communication

10.11591/csit.v6i1.p28-39
Arvind Kumar , Adesh Kumar , Anurag Vijay Agrawal
Multiplexing is the technique of transmitting two or more separate signals concurrently using a single communication channel. Multiplexing enables the augmentation of communication channels and consequently the volume of data that may be transmitted. Communication networks utilize diverse multiplexing techniques. An input multiplexer amalgamates various network signals into a singular composite signal before transmission over a shared medium. The composite signal is broken back into its component signals by a demultiplexer, when it reaches its destination, allowing further operations to utilize them separately. The design of the hardware chip depends on the configuration of the multiplexer and demultiplexer in the communication system. The work is presented as a study of the digital logic design and simulation of the different configurations of the multiplexer hardware. The performance evaluation is carried out on the different series of Xilinx field programmable gate array (FPGA) such as Spartan-6, Spartan-3E, Virtex-5, and Virtex-6 with logically checked in Xilinx ISE waveform simulator software. The current analysis of the design and simulation of different configurations of the multiplexer design helps the designers to estimate the chip performance. The novelty of the work lies in its scalable and programmable architecture fitted for specific communication systems that assess performance based on latency, frequency, and power consumption that can be further linked with communication protocols.
Volume: 6
Issue: 1
Page: 28-39
Publish at: 2025-03-01

Power of analytic tools in Oxygen Forensic® Detective based on NIST cybersecurity framework

10.11591/csit.v6i1.p8-19
Tole Sutikno , Iqbal Busthomi
The National Institute of Standards and Technology (NIST) cybersecurity framework is a systematic approach for assessing and improving cybersecurity procedures in digital investigations. Oxygen Forensic® Detective is a digital forensic software that integrates multiple analytic tools to assist investigators in extracting valuable insights from digital evidence. The analytic tools, including timeline, social graph, image categorization, facial categorization, maps, data search, key evidence, optical character recognition, statistics, and translation, assist investigators in thoroughly analyzing digital artifacts, establishing connections, and accurately classifying images with precision and effectiveness. By incorporating these analytical resources into Oxygen Forensic® Detective, a comprehensive strategy is established to effectively combat cyber threats. The NIST cybersecurity framework is incorporated into the tool, offering a methodical approach to identifying and reducing cybersecurity risks. Law enforcement agencies can enhance the productivity and effectiveness of their forensic methodologies by implementing these advanced technologies. This can result in successful prosecutions and improved cybersecurity practices.  Overall, the utilization of analytical tools in criminological inquiries has experienced a substantial rise in the contemporary digital era.
Volume: 6
Issue: 1
Page: 8-19
Publish at: 2025-03-01

Analysis of telehealth acceptance for basic life support training in sudden cardiac arrest in Pontianak

10.11591/csit.v6i1.p48-57
Ruhil Iswara , Sri Kusumadewi , Rahadian Kurniawan
Sudden cardiac arrest (SDA), which is one of the most prevalent causes of mortality, can be prevented by quickly conducting basic life support (BLS). In Pontianak City, the challenges associated with obtaining emergency health training, such as BLS, remain high. This study aims to evaluate user acceptance of telehealth as well as its effectiveness in BLS training. We will also discuss its impact on community knowledge and skills in managing cardiac arrest. We used the HOT-Fit method to analyze the level of acceptance of telehealth in BLS training. We collected data from 60 respondents who underwent telehealth-based BLS training. The results showed that participants' understanding and readiness in dealing with heart attack emergencies had increased significantly, by 90% and 92%, respectively. Analysis of the level of acceptance with HOT-Fit showed that system quality had the greatest influence on system use (0.611). Service quality exerted the most significant impact on user satisfaction (0.568). The net benefit was influenced by system use, user satisfaction, and organizational support, with user satisfaction having the greatest influence (0.600). Further research will be conducted on the utilization of augmented reality (AR) or virtual reality (VR) technology to implement telehealth for BLS training.
Volume: 6
Issue: 1
Page: 48-57
Publish at: 2025-03-01

Secure e-voting system using Schorr's zero-knowledge identification protocol

10.11591/csit.v6i1.p20-27
Indah Octaviani Laleb , Daniel M.D.U. Kasse
In today's era of technological progress, the electoral system has changed significantly with the introduction of electronic voting (e-voting). The traditional voting system poses many vulnerabilities to manipulation, potential human error, and problems with voter privacy. These limitations can lead to reduced trust and participation in elections. E-voting has emerged to address this issue, aiming to improve the convenience, security, and privacy of voters. E-voting systems are evaluated on accuracy, security, privacy, and transparency; however, ensuring voter privacy while maintaining these principles remains a significant challenge. A potential solution to improving privacy in e-voting is Schorr's zero-knowledge identification protocol. This protocol allows voters to confirm their identity without revealing personal information, maintaining voter privacy throughout the process. By implementing these protocols, the e-voting system can strengthen security and privacy, making elections more transparent and trustworthy. As technology evolves, adopting solutions like Schorr's zero-knowledge identification protocol can help e-voting systems meet the growing demand for safe, fair, and private elections.
Volume: 6
Issue: 1
Page: 20-27
Publish at: 2025-03-01

Machine learning model approach in cyber attack threat detection in security operation center

10.11591/csit.v6i1.p80-90
Muhammad Ajran Saputra , Deris Stiawan , Rahmat Budiarto
The evolution of technology roles attracted cyber security threats not only compromise stable technology but also cause significant financial loss for organizations and individuals. As a result, organizations must create and implement a comprehensive cybersecurity strategy to minimize further loss. The founding of a cybersecurity surveillance center is one of the optimal adopted strategies, known as security operation center (SOC). The strategy has become the forefront of digital systems protection. We propose strategy optimization to prevent or mitigate cyberattacks by analyzing and detecting log anomalies using machine learning models. This study employs two machine learning models: the naïve Bayes model with multinomial, Gaussian, and Bernoulli variants, and the support vector machine (SVM) model with radial basis function (RBF), linear, polynomial, and sigmoid kernel variants. The hyperparameters in both models are then optimized. The models with optimized hyperparameters are subsequently trained and tested. The experimental results indicate that the best performance is achieved by the RBF kernel SVM model, with an accuracy of 79.75%, precision of 80.8%, recall of 79.75%, and F1-score of 80.01%; and the Gaussian naïve Bayes model, with an accuracy of 70.0%, precision of 80.27%, recall of 70.0%, and F1-score of 70.66%. Overall, both models perform relatively well and are classified in the very good category (75%‒89%).
Volume: 6
Issue: 1
Page: 80-90
Publish at: 2025-03-01
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