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Recent Advances in Non-Isolated DC/DC Converter Topologies: A Review and Future Perspectives Open
Continuous advancements in power conversion techniques address the growing need for efficiency and adaptability in contemporary energy applications, including e-mobility, renewable energy, and energy storage systems. This work presents a r…
View article: Impact Assessment of Electric Bus Charging on a Real-Life Distribution Feeder Using GIS-Integrated Power Utility Data: A Case Study in Brazil
Impact Assessment of Electric Bus Charging on a Real-Life Distribution Feeder Using GIS-Integrated Power Utility Data: A Case Study in Brazil Open
The electrification of public transport with battery electric buses (BEBs) poses technical, regulatory, and environmental challenges. This paper analyzes the impact of BEB charging on a Brazilian urban medium-voltage (MV) feeder using a no…
View article: Comparative Analysis of Weighting-Factor-Free Predictive Control Strategies for Direct Torque Control in Permanent Magnet Synchronous Machines
Comparative Analysis of Weighting-Factor-Free Predictive Control Strategies for Direct Torque Control in Permanent Magnet Synchronous Machines Open
Direct torque control (DTC) based on the finite control set model predictive control (FCS-MPC) provides a straightforward and intuitive solution for controlling permanent magnet synchronous motors (PMSMs). However, conventional FCS-MPC rel…
View article: An On-Line Self-Calibration Method for DSP-Based Resolver-to-Digital Converters
An On-Line Self-Calibration Method for DSP-Based Resolver-to-Digital Converters Open
In software-based resolver-to-digital converters (RDCs), parameter deviations of detected envelope signals (amplitude imbalance, DC offset, and non-orthogonal phase shifts) can introduce periodic rotor position estimation errors, leading t…
Real-Time Model Predictive Control for Two-Level Voltage Source Inverters with Optimized Switching Frequency Open
The increasing integration of renewable energy, electric vehicles, and industrial applications demands efficient power converter control strategies that reduce switching losses while maintaining high waveform quality. This paper presents a…
View article: Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters
Enhanced Sliding Mode Control for Dual MPPT Systems Integrated with Three-Level T-Type PV Inverters Open
Dual Maximum Power Point Tracking (MPPT) inverters are essential in residential and small commercial solar power systems, optimizing power extraction from two independent solar panel arrays to enhance efficiency and energy harvesting. On t…
View article: Comprehensive Performance Assessment of Conventional and Sequential Predictive Control for Grid-Tied NPC Inverters: A Hardware-in-the-Loop Study
Comprehensive Performance Assessment of Conventional and Sequential Predictive Control for Grid-Tied NPC Inverters: A Hardware-in-the-Loop Study Open
Model Predictive Control (MPC) has become very attractive for the efficient control of power converters. This paper compares Classical MPC (C-MPC) and Sequential MPC (S-MPC) for a three-level NPC converter. Although C-MPC is simple to impl…
DCAT: A Novel Transformer-Based Approach for Dynamic Context-Aware Image Captioning in the Tamil Language Open
The task of image captioning in low-resource languages like Tamil is fraught with challenges due to limited linguistic resources and complex semantic structures. This paper addresses the problem of generating contextually and linguisticall…
Closed-Loop Mu-Rhythm Brain–Computer Interface for Neuroadaptive Control of the Chrome Dinosaur Game Open
Background: Mu-rhythm BCIs provide a noninvasive entry to motor control via event-related desynchronization detection over the sensorimotor cortex during motor imagery. Standard training paradigms are immersive and result in slow learning.…
View article: Modeling Multimodal Emotion with Dynamic Interaction-Focused Representation Network
Modeling Multimodal Emotion with Dynamic Interaction-Focused Representation Network Open
Understanding human emotions through multimodal signals has become a pivotal task in affective computing and human-computer interaction. Among the multiple modalities, text and audio jointly deliver rich and complementary emotional cues. H…
Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System Open
The expansion of DC microgrids has prompted investigations into wind energy systems to harness the benefits of this configuration. Therefore, this study aims to analyze and compare the performances of predictive current control (PCC) and p…
Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks Open
The increasing prevalence of cyber threats in wireless sensor networks (WSNs) necessitates adaptive and efficient security mechanisms to ensure robust data transmission while addressing resource constraints. This paper proposes a reinforce…
Predictive Control for Induction Machines Open
In the last decades, the application of fast modern microcontrollers has been continuously growing, allowing the development and implementation of new and more intelligent control strategies as an alternative to conventional techniques for…
Coupled Inductor-Based Soft-Switched Boost-Ćuk Converter for Microinverter Applications Open
In this study, a novel fully soft-switched high step-up dc-dc converter is proposed. The proposed converter comprises the integration of boost and Ćuk converters with the same input inductor and MOSFET, and series-connected output dc-link …
View article: A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response
A Knowledge Graph-Based Framework for Smart Home Device Action Recommendation and Demand Response Open
Within smart homes, consumers could generate a vast amount of data that, if analyzed effectively, can improve the convenience of consumers and reduce energy consumption. In this paper, we propose to organize household appliance data into a…
Investigation of PWM Techniques for High-Frequency Harmonics Loss Performance in Dual-Three Phase Asymmetrical Machines Open
Dual three-phase asymmetrical machines are more sensitive to voltage pulses from pulse width modulation (PWM) compared to conventional three-phase machines. This sensitivity results in substantial current harmonics, which cause increased m…
View article: A Cost-Effective and Flexible Decision-Making Method for Multi-Objective Finite Control Set Model Predictive Control
A Cost-Effective and Flexible Decision-Making Method for Multi-Objective Finite Control Set Model Predictive Control Open
Multi-objective finite control set-model predictive control (FCS-MPC) plays a prominent role in controlling modern power converters and electric drives. However, selecting weighting factors (WFs) remains challenging, particularly when cons…
Control of a Multiport Converter for Independent MPPT Algorithms and Grid Integration in Photovoltaic Applications Open
The advantage of multiport dc-dc converters over a configuration of several two-port dc-dc converters with a common dc bus is the reduction in the number of components. However, certain multiport dc-dc converter topologies still present si…
Dual Direct Matrix Converter-Based Drives With Enhanced Input Power Factor Control and Common-Mode Voltage Elimination Open
The demand for high-efficiency, compact, and power-dense ac–ac conversion is driving renewed interest in matrix converters for industrial and renewable energy applications. This article introduces a novel input power factor (IPF) control s…
Optimised Model Predictive Control for MMCs: Enhancing Performance and Reducing Computational Burden Open
This paper proposes an Improved Folding Model Predictive Control (IFMPC) strategy for Modular Multilevel Converters (MMCs) that significantly reduces computational complexity while enhancing control accuracy and real-time feasibility. Alth…
View article: Novel Atmospherically Plasma Sprayed Micro Porous Layer for Anion Exchange Membrane Water Electrolysis Operating With Supporting Electrolyte
Novel Atmospherically Plasma Sprayed Micro Porous Layer for Anion Exchange Membrane Water Electrolysis Operating With Supporting Electrolyte Open
Anion exchange membrane water electrolysis (AEMWE) is one of the most promising candidates for green hydrogen production needed for the de‐fossilization of the global economy. As AEMWE can operate at high efficiency without expensive Plati…
Enhanced Localization in Wireless Sensor Networks Using a Bat-Optimized Malicious Anchor Node Prediction Algorithm Open
The accuracy of node localization plays a crucial role in the performance and reliability of wireless sensor networks (WSNs), which are widely utilized in fields like security systems and environmental monitoring. The integrity of these ne…
A Comprehensive Approach to Bias Mitigation for Sentiment Analysis of Social Media Data Open
Sentiment analysis is a vital component of natural language processing (NLP), enabling the classification of text into positive, negative, or neutral sentiments. It is widely used in customer feedback analysis and social media monitoring b…
An Enhanced Model Predictive Torque Control With Online Loss Minimization Tracking for SPMSM Drive Open
Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the dq-axis current references. Addressing the c…
A Hybrid PWM Technique Employing Variable Switching Sequences for Current Ripple Suppression in Dual Three-Phase PMSMs Open
Dual three-phase electrical machines inherently have lower 6 k ± 1 order harmonic impedance than conventional three-phase machines, particularly in their sensitivity to voltage pulses from a drive in terms of current harmonics. Based on sp…
Disturbance‐rejection adjacent vector model predictive control strategy based on extended state observer for EV converter Open
Conventional single‐vector model predictive control (MPC) can suffer from low control accuracy, while multi‐vector MPC is often criticized for its complexity and heavy computational burden. In order to address these issues, an adjacent vec…