IEEE Open Journal of the Industrial Electronics Society最新文献

{"title":"Modeling and Analysis of Grid-Supporting Virtual Synchronous Generator Systems Considering Impact of Grid Strength Disturbances","authors":"Chang Li;Xinhua Xiong;Wei Sun;Yaqian Yang;Frede Blaabjerg","doi":"10.1109/OJIES.2026.3719108","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3719108","url":null,"abstract":"Grid-supporting virtual synchronous generator (GS-VSG) may suffer from power oscillation under strong-grid conditions and relatively high ratio of R/X ratio. However, the conventional small-signal analysis does not incorporate the dynamic characteristics of grid-impedance variations. To tackle this issue, this work proposes a power response model in which grid impedance is treated as a small-signal disturbance variable. Based on the proposed model, the stability and dynamic performance of the GS-VSG system are systematically analyzed. The dominant eigenvalues of the proposed active-power-grid-impedance response model agree well with those of the closed-loop system model and achieve a relative error within approximately 4% in comparison to electromagnetic (EMT) model. In addition, auxiliary control strategies referring to a compound feedback path are introduced for robustness analysis by comparing theoretical model with EMT model. Finally, the effectiveness of proposed active power-grid impedance response model is demonstrated by hardware-in-the-loop experiments.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"1266-1278"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11635849","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148747899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sensor-Driven Robust Fault Detection and Diagnosis for Wind Turbines Under Dynamic and Uncertain Environments Based on Digital Twin-Enhanced Fusion Learning","authors":"Imen Nakti;Majdi Mansouri;Abdelmalek Kouadri;Atef Khedher;Mahamadou Abdou Tankari;Abdullah Al-Badi","doi":"10.1109/OJIES.2026.3721927","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3721927","url":null,"abstract":"Reliable fault detection and diagnosis in wind turbine systems remains a significant challenge due to the highly dynamic and uncertain nature of real-world operating environments. Variations in wind speed, turbulence intensity, mechanical loading, and sensor noise can substantially degrade the performance of conventional data-driven diagnostic methods. This article presents a robust fault detection and diagnosis framework for wind turbines operating under dynamic and uncertain conditions. All results reported in this article are obtained through simulation studies conducted in a MATLAB/Simulink environment; no physical wind turbine test rig was used. The only externally measured information employed is a set of wind-speed statistics derived from supervisory control and data acquisition (SCADA) records of large-scale wind turbines, used solely to initialize the simulated wind profile. Unlike many purely simulation-based studies, the proposed framework explicitly distinguishes among, first, MATLAB/Simulink-generated simulation data, second, SCADA-informed wind profile initialization, and, third, training-only data augmentation, thereby ensuring transparent data provenance and facilitating reproducibility. Dynamic operating conditions are represented through fluctuating wind speeds, turbulence effects, and load-dependent variations. Model parameters are selected according to physically meaningful operating ranges reported in the wind energy literature, thereby enhancing simulation realism and reducing arbitrary parameter tuning. To improve robustness against uncertainty, a digital twin-based data augmentation strategy and small measurement perturbations are incorporated during training. A hybrid feature extraction scheme combining time-domain, frequency-domain, and statistical features is employed to capture diverse fault signatures. The proposed framework integrates multiple classifiers through early-, late-, and decision-level fusion strategies with attention-based weighting mechanisms. Simulation results obtained from multiclass wind turbine fault scenarios demonstrate that the proposed framework achieves superior diagnostic accuracy and robustness compared with conventional approaches. Nevertheless, the near-perfect classification performance is interpreted cautiously, as controlled simulation conditions and strong feature separability may partially contribute to the observed results. To mitigate potential data leakage, strict scenario-level data partitioning is enforced throughout the evaluation process.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"1366-1384"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11644925","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148836386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Temperature-Based Method for Aging Characterization of IGBTs","authors":"Quirc Perez-Farre;Alejandro Paredes-Camacho;Carlos López-Torres;Antoni Garcia-Espinosa","doi":"10.1109/OJIES.2026.3719550","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3719550","url":null,"abstract":"Recent reliability studies from 2025 indicate that power semiconductor modules remain the most critical failure point in inverters, accounting for approximately 38% of total system failures. The increase in power density and reduction in system volume are common requirements, especially in the automotive sector, targeting 200 kW/L by 2030, which increases thermal stress and requires advanced nonintrusive state-of-health (SOH) monitoring. Conventional electrical-based indicators are often limited by high switching noise and inherent temperature dependence, which can lead to inaccurate aging estimation if proper thermal compensation is not applied, and by the complexity of on-board conditioning circuits. This article proposes a novel method for IGBT aging characterization based only on junction (<italic>T_j</i>) and case (<italic>T_c</i>) temperature monitoring. The proposed approach consists of simulating the power losses and thermal behavior of a power transistor under various predefined aging conditions. These simulations provide the <italic>T_j</i> and <italic>T_c</i> for each aging state, which are then correlated with conventional aging indicators, such as the <sc>on</small>-state conduction resistance and the junction-to-case thermal resistance. This unique approach enables decoupling of conduction-related degradation mechanisms (M_con) from thermal-path degradation mechanisms (M_th). Experimental validation of power modules demonstrates that the proposed method accurately tracks SOH using conventional indicators, such as conduction and thermal resistances, with errors of 0.1%–1.5% over most of the device's operational life.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"1279-1291"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11637114","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148781335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"New PWM Strategies for Zero and Reduced Common-Mode Voltage and Auxiliary-Plane Suppression in Symmetrical Six-Phase Inverters for Single-Neutral-Point Loads","authors":"Kotb B. Tawfiq;Ehab F. El-Saadany","doi":"10.1109/OJIES.2026.3721493","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3721493","url":null,"abstract":"This article presents new pulse width modulation (PWM) strategies for symmetrical six-phase inverters feeding single-neutral-point loads that eliminate or significantly reduce common-mode voltage (CMV) and suppress auxiliary-plane voltages. The proposed methods are derived using a constraint-driven switching-state synthesis approach and control modulation to a reduced set of switching states that inherently produce zero CMV or low CMV levels. By appropriate vector selection and sequencing, the <inline-formula><tex-math>$ x - y$</tex-math></inline-formula> subspace voltages are eliminated and the average voltage in the <inline-formula><tex-math>${{0}^ + } - {{0}^ - }$</tex-math></inline-formula> plane is forced to zero, thereby reducing zero-sequence current ripple. Closed-form analytical expressions are derived for the duty cycles, enabling offline computation and low real-time computational burden. No virtual vectors are generated, and no online optimization is required. Symmetric switching sequences are used to limit switching losses and dead-time effects. The modulation range of the proposed methods is analyzed, and experimental results are introduced to validate the performance of the proposed PWMs. A comprehensive comparison with conventional PWM methods and a recently published model predictive control (MPC)-based PWM strategy is also presented. Comparative evaluation with existing PWM techniques demonstrates near-complete CMV suppression for one proposed strategy and approximately 67.7% CMV reduction for the other, while maintaining current quality and loss levels close to the reference PWM. The results further show that the proposed methods require substantially lower computational effort than the MPC-based approach while maintaining competitive performance. Additional simulation results using a symmetrical six-phase permanent magnet synchronous motor drive demonstrate the applicability of the proposed methods to electric-drive systems, confirming suitability for real-time implementation.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"1292-1310"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11644405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148781493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analogy Between Micro-Hydroelectric and Small-Wind Energy Conversion Systems and Validation of Simple and Effective Maximum Power Point Tracking Techniques","authors":"Ander Plaza;Gonzalo Abad;Gorka Kerejeta","doi":"10.1109/OJIES.2026.3675702","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3675702","url":null,"abstract":"This article presents an analogy between micro-hydroelectric and small wind energy conversion systems, validating two commonly used power extraction methods. Although this article focuses on the Pelton hydroelectric turbine, most of the analysis, methods, and results could also be extended to other types of hydroelectric turbines. First, the physical model of the Pelton turbine is described, and then it is adapted to the modeling methods applied to wind turbines. This shows the analogy between the models of Pelton and wind turbines. Based on this analogy, two simple and effective maximum power extraction methods developed for small wind turbines are applied to micro-hydroelectric power generation by Pelton turbines. The first tested method is the model-based maximum power point tracking (MPPT) algorithm, which is based on indirect speed control. This method effectively maximizes the power generation of the hydraulic turbine by using a simple power electronics conversion system. It minimizes the complexity and computational cost of the algorithm and requires few electric magnitude measurements. Thus, the necessity of using a position or speed sensor is avoided (sensorless). After that, the so-called Pseudo-MPPT method is tested, which further simplifies the power conversion system, eliminates the necessity of a micro-processor, and therefore, also avoids the use of sensors. Experimental validation of both maximum power extraction methods shows that they effectively maximize the power generation of Pelton turbines under both constant and variable flow rate conditions. Thus, while the MPPT method tends to extract more power than the Pseudo-MPPT method at constant flow rates, the Pseudo-MPPT method can be designed to be nearly as efficient as the MPPT method in contexts where the flow rate is well-defined and limited to a known range. It should be noted, however, that the Pseudo-MPPT method has a very fast dynamic response time to adapt to flow rate variations, and its simplicity makes it attractive in terms of practical implementation, low cost, and reduced design and commissioning complexity for engineers, as well as good reliability due to its minimized component needs. To conclude, several application scenarios for these micro-hydroelectric turbines are presented and described in detail.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"625-649"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11447413","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147606307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modified TCM Soft-Switching for Efficiency Improvement in Electrolytic-Free, High Power Factor LED Driver","authors":"Tiago Dequigiovani;Claudinor B. Nascimento;Roger Gules","doi":"10.1109/OJIES.2026.3685130","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3685130","url":null,"abstract":"This article presents an light-emitting diode (LED) driver that actively reduces low-frequency output current ripple through a duty-cycle modulation scheme, enabling the use of compact film capacitors and eliminating electrolytic capacitors. The control architecture combines feedforward action with a proportional–integral controller, while the power stage integrates an interleaved boost power factor correction (PFC) converter with a synchronous buck DC–DC stage. The proposed topology complies with IEC 61000-3-2 Class C input-current harmonic limits and meets IEEE Std. 1789 recommendations for low-frequency LED current ripple, even under dimming conditions. To achieve zero-voltage switching of the power switches, a modified triangular current mode (TCM) technique is employed without requiring additional components. The modified TCM enables soft-switching operation with reduced conduction losses, resulting in a 1.84% efficiency improvement over conventional TCM at nominal output power under the worst-case operating condition. This efficiency improvement remains consistent across the entire dimming range, maintaining efficiency above 94% from nominal to 40% of the output power. Experimental results under nominal conditions (127 VAC input, 78 W output) demonstrate a total harmonic distortion of 9.42%, a power factor of 0.990, and an efficiency of 94.85%.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"780-796"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11488443","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147828830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fingerprinting IP-Connected Devices Using Machine Learning and Deep Learning Models","authors":"Stamatis Karnouskos","doi":"10.1109/OJIES.2026.3704910","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3704910","url":null,"abstract":"Device fingerprinting enables various asset management scenarios. This work presents a comprehensive evaluation of machine learning (ML) and deep learning (DL) approaches for fingerprinting IP-connected devices using the publicly available network mapper (Nmap) operating system (OS) database. Focusing on the classification of three critical device characteristics, i.e., operating system family, vendor, and device type, fingerprinting is treated as a multiclass classification problem. The performance of eleven algorithms, including six classical ML models and five deep neural network (DNN) architectures, is evaluated. The experiments explore the impact of data imbalance, employing synthetic minority oversampling technique and adaptive synthetic for synthetic data augmentation. The empirical results show that tree-based ML models, such as decision trees, random forests, and extreme gradient boosting, achieve high accuracy at significantly lower training and inference costs than DNNs. Although DNNs can also yield competitive area under the curve (AUC) scores, their performance benefits are outweighed by training requirements, making them less suitable for most practical applications. This study concludes that traditional ML approaches remain preferable for OS, vendor, and device type classification in IP-connected device fingerprinting scenarios, and it highlights key tradeoffs in performance, complexity, and computational overhead. The results are of interest to industry stakeholders, including researchers, security practitioners, and system designers who integrate device identification into their asset management, security, and critical infrastructure systems.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"1008-1018"},"PeriodicalIF":4.6,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11569105","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148442182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Autonomous Seamless Transition Between Grid-Connected and Islanded Operations for DC-Coupled EV Charging Infrastructures","authors":"Anas Karaki;Ali Sharida;Sertac Bayhan;Haitham Abu-Rub","doi":"10.1109/OJIES.2026.3697995","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3697995","url":null,"abstract":"This article proposes a novel seamless transition technique between grid-connected and islanded operations for DC-coupled electric vehicle (EV) charging infrastructures. The main objective of the proposed approach is to ensure that the critical grid and EV requirements will be satisfied during the transition, including frequency, rate of change of frequency (RoCoF), current, rate of change of current (<inline-formula><tex-math>$di/dt$</tex-math></inline-formula>), and voltage ride-through requirements. The proposed approach provides three main functionalities, the first one is to ensure the seamless transition between islanded to on-grid operation, the second one is to control the transition process from grid-connected to islanded operation (intentional islanding), while the third one is to perform a fast transition to grid-forming operation when the utility grid is suddenly disconnected (unintentional outage). The algorithm is primarily based on trajectory-based frequency control to synchronize the charging infrastructure with the grid while adhering to RoCoF constraints. Moreover, the reference currents are adaptively generated to ensure a smooth transition, effectively controlling transient currents by minimizing overshoots and limiting <inline-formula><tex-math>$di/dt$</tex-math></inline-formula>. This approach mitigates surge power and prevents false tripping of the protection system while maintaining stable operation during dynamic conditions. The effectiveness of the proposed technique is validated experimentally.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"951-963"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11537385","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148236306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Model-Based Development for Event-Driven and Timer-Driven ROS 2 Nodes Considering Parallelization","authors":"Kenshin Obi;Takumi Onozawa;Ryo Yoshinaka;Hiroshi Fujimoto;Takuya Azumi","doi":"10.1109/OJIES.2026.3659855","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3659855","url":null,"abstract":"In recent years, the increasing complexity of industrial cyber-physical systems such as autonomous vehicles has tightened real-time constraints, yet conventional model-based development (MBD) does not always exploit embedded multi/many-core processors. Obstacles include the need to manually implement ROS 2 I/O and node structure, the requirement in ROS 2 to handle execution timing such as event-driven and timer-driven callbacks and multi-input synchronization, and parallelization must be repeated for target hardware configurations. Although Model-based Parallelizer (MBP) can generate task-parallel code from Simulink models, its support for MATLAB/Simulink Toolbox blocks (e.g., ROS Toolbox) is limited, and lacking data parallelism, speedup is hard to obtain. This paper proposes a Simulink-to-ROS 2 parallel code generation method from Simulink models that include Toolbox blocks. The proposed method preserves Toolbox-equivalent functionality while preventing excessive block reduction from degrading parallelism, and generates ROS 2 C++ nodes automatically that support event-driven and timer-driven execution. Functional correctness is validated through split-merge-based verification and back-to-back tests using identical rosbag2 inputs. Beyond single-node execution time, the method measures end-to-end pipeline execution time across multiple nodes and ROS 2 latency; variability is quantified using WCET (maximum over 1,000 runs), jitter, and variance. Autoware Universe-derived ROS 2 nodes are evaluated on Raspberry Pi 4, WSL2, and the Coolidge platform. The evaluation demonstrates up to 15.92 times speedup on a 16-core Coolidge configuration. Meanwhile, ROS 2 communication and scheduling latency remains below approximately 1% of a 100 ms cycle. These results demonstrate practical, reproducible high-performance ROS 2 deployment on embedded platforms using Toolbox-based MBD.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"348-368"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11370167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Continuous Control Set Model Predictive Control of Three-Phase Single-Stage Differential Boost Inverter","authors":"Yushan Liu;Xiangkai Feng;Longtao Zhou;Yupeng Liu;Marco Rivera;Patrick Wheeler","doi":"10.1109/OJIES.2026.3668298","DOIUrl":"https://doi.org/10.1109/OJIES.2026.3668298","url":null,"abstract":"The three-phase differential boost inverter (DBI) is a specialized category of power inverters that provides single-stage boosting functionality, characterized by high efficiency, cost-effectiveness, and compact size. However, it is challenging to control due to its nonlinearity and nonminimum phase characteristics. Specifically, when model predictive control (MPC) is applied, the nonminimum phase characteristics can lead to unstable internal dynamics. To solve this problem, this article proposes a novel continuous control set MPC (CCS-MPC) method for the three-phase DBI. Based on the established predictive models of circuit currents and voltages, the appropriate duty cycle for the next sampling period can be predicted. An additional inductor current-based stability constraint is designed to achieve system stability. This control strategy significantly optimizes the dynamic performance and the second-order harmonics in the output currents. Compared with finite-control set MPC, CCS-MPC features fixed switching frequency with higher steady-state accuracy and lower current ripple. Additionally, complex parameter design is avoided compared to proportional-integral-based control. Simulation and experiment are conducted to verify the efficacy of the proposed CCS-MPC for the three-phase DBI.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"7 ","pages":"563-575"},"PeriodicalIF":4.3,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11414127","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147557705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}