IEEE Open Journal of Industry Applications最新文献_第3页

Advanced Online State-of-Health Prediction and Monitoring of Na-Ion Battery for Electric Vehicles Application 应用于电动汽车的钠离子电池健康状态在线预测与监测

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2025-01-08 DOI: 10.1109/OJIA.2025.3527721

D. Pelosi;L. Trombetti;F. Gallorini;P. A. Ottaviano;L. Barelli

引用次数: 0

A Continuous Sliding Mode Current Control Based on the Sensitivity Theory for PMSM Drives 基于灵敏度理论的永磁同步电机连续滑模电流控制

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2025-01-07 DOI: 10.1109/OJIA.2025.3526628

Elia Brescia;Massimo Tipaldi;Francesco Torelli;Paolo Roberto Massenio;Luigi Pio Savastio;Giuseppe Leonardo Cascella;Enrico De Tuglie

{"title":"A Continuous Sliding Mode Current Control Based on the Sensitivity Theory for PMSM Drives","authors":"Elia Brescia;Massimo Tipaldi;Francesco Torelli;Paolo Roberto Massenio;Luigi Pio Savastio;Giuseppe Leonardo Cascella;Enrico De Tuglie","doi":"10.1109/OJIA.2025.3526628","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3526628","url":null,"abstract":"Sliding mode controllers (SMCs) are commonly used in permanent-magnet synchronous machines (PMSMs) for current control due to their robustness and simplicity. However, high gains used in traditional discontinuous SMC implementations can induce chattering. To address this, disturbance observers are employed to maintain robustness without resorting to high gains. This article introduces a novel continuous asymptotic SMC method for PMSM currents that avoids the need for disturbance observers, resulting in reduced complexity and tuning efforts. The control laws of the two <inline-formula><tex-math>$dq$</tex-math></inline-formula>-axes currents are obtained through the sensitivity of the tracking errors with respect to the controller outputs. The robustness and convergence properties of the proposed control laws are theoretically studied using the Lyapunov approach. Numerical simulations are used to evaluate the performance and robustness of the proposed controller, followed by experiments to compare it to a discontinuous terminal SMC with and without a disturbance observer. The results clearly demonstrate the superiority of the proposed controller that ensures fast convergence, low chattering, and high robustness to parameter variations without requiring the design of additional disturbance observers.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"48-58"},"PeriodicalIF":7.9,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10830512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105670","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}

引用次数: 0

Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter 扰动鲁棒广义预测控制在电动汽车充电栅变换器中的应用

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2025-01-03 DOI: 10.1109/OJIA.2025.3525771

Jefferson S. Costa;Angelo Lunard;Luís F. Normandia Lourenço;Lucas Rodrigues;Alfeu J. Sguarezi Filho

{"title":"Disturbance Robust Generalized Predictive Control Applied to an EV Charger Grid Converter","authors":"Jefferson S. Costa;Angelo Lunard;Luís F. Normandia Lourenço;Lucas Rodrigues;Alfeu J. Sguarezi Filho","doi":"10.1109/OJIA.2025.3525771","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3525771","url":null,"abstract":"Electric vehicles (EVs) are the best solution to tackle the critical challenge of reducing carbon emissions in the transportation sector. However, the widespread adoption of EVs relies on advancing fast-charging infrastructure technology. This includes overcoming challenges related to operating under disturbed conditions, which can impact the stability of the internal control loop. This article presents a method for robustly tuning a generalized predictive control (GPC) for an EV charger grid converter. This approach aims to enhance its performance in the face of disturbances in the grid voltage and internal filter parameters. One significant scientific gap in applying GPC in grid-tied converters concerns systematic tuning. This article addresses this gap by explicitly analyzing the impact of tuning on the stability and robustness of the GPC controller. The concept of robust stability margin, derived from singular value decomposition, is used for this purpose. Experimental results obtained from an EV charger prototype validated the tuning proposal aimed at maximizing the robustness and performance of the grid converter. The tests with different internal filters guaranteed a performance level within the defined error band. Furthermore, experimental tests have shown that the proposed controller is more robust than conventional MPC.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"69-78"},"PeriodicalIF":7.9,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10824861","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143105655","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}

引用次数: 0

Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization 基于模糊学习和进化优化的电网除冰无人机协同调度

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-12-26 DOI: 10.1109/OJIA.2024.3522072

Yu-Jun Zheng;Zhi-Yuan Zhang;Jia-Yu Yan;Wei-Guo Sheng

{"title":"Cooperative UAV Scheduling for Power Grid Deicing Using Fuzzy Learning and Evolutionary Optimization","authors":"Yu-Jun Zheng;Zhi-Yuan Zhang;Jia-Yu Yan;Wei-Guo Sheng","doi":"10.1109/OJIA.2024.3522072","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522072","url":null,"abstract":"Icing is one of the most serious threats to power grid security in cold seasons. This article studies a problem of cooperatively scheduling inspection unmanned aerial vehicles (UAVs) and deicing UAVs for power grid deicing, the aim of which is to minimize the total expected loss of outages and collapses caused by the icing disaster. Uncertain outage risk, collapse risk, and deicing workload of each power line are modeled as fuzzy values predicted by fuzzy deep learning models, and we transform the fuzzy optimization problem into a crisp optimization problem based on fuzzy arithmetics and uncertain theory. We propose an evolutionary algorithm, which combines global search without individual interaction and adaptive local search that uses a fuzzy inference system to determine the operator to be applied on each solution. The algorithm is fully parallelizable and therefore can solve the problem very efficiently based on GPU parallel acceleration. Computational results on real-world problem instances validate the performance of the proposed method compared to the state of the arts.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"15-33"},"PeriodicalIF":7.9,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10815062","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142937888","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}

引用次数: 0

LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection LArcNet：用于实时串联交流电弧故障检测的轻量级神经网络

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-12-25 DOI: 10.1109/OJIA.2024.3522364

Kamal Chandra Paul;Chen Chen;Yao Wang;Tiefu Zhao

{"title":"LArcNet: Lightweight Neural Network for Real-Time Series AC Arc Fault Detection","authors":"Kamal Chandra Paul;Chen Chen;Yao Wang;Tiefu Zhao","doi":"10.1109/OJIA.2024.3522364","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522364","url":null,"abstract":"Detecting series ac arc faults in diverse residential loads is challenging due to variations in load characteristics and noise. While traditional artificial intelligence-based algorithms can be effective, they often involve high computational complexity, limiting their real-time implementation on resource-constrained edge devices. This article introduces lightweight arc fault detection network (LArcNet), a novel, lightweight, and rapid-response algorithm for series ac arc fault detection. LArcNet combines a teacher–student knowledge distillation approach with an efficient convolutional neural network architecture to achieve high accuracy with minimal computational demand. This streamlined yet robust design makes LArcNet ideally suited for resource-constrained embedded systems, achieving an arc fault detection accuracy of 99.31%. The model is optimized and converted into TensorFlow Lite format to reduce size and latency, enabling deployment on low-power embedded devices such as the Raspberry Pi and the STM32 microcontrollers. Test results demonstrate LArcNet's inference times of just 0.20 ms on the Raspberry Pi 4B and 3 ms on the STM32H743ZI2, surpassing other leading models in operational speed while maintaining competitive accuracy in arc fault detection.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"79-92"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10816166","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403851","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}

引用次数: 0

State-of-the-Art of CSR Design for Novel Applications Trend 面向新应用趋势的企业社会责任设计研究进展

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-12-25 DOI: 10.1109/OJIA.2024.3522564

Valdecir J. De Paris;Marco di Benedetto;Gierri Waltrich;Alessandro Lidozzi;Luca Solero

{"title":"State-of-the-Art of CSR Design for Novel Applications Trend","authors":"Valdecir J. De Paris;Marco di Benedetto;Gierri Waltrich;Alessandro Lidozzi;Luca Solero","doi":"10.1109/OJIA.2024.3522564","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3522564","url":null,"abstract":"Among the converters currently employed for ac–dc conversion, diode rectifiers (DRs) and voltage source rectifiers are the most prevalent due to their accessibility, cost-effectiveness, and efficiency. However, current source rectifiers (CSRs) present several advantages, such as short-circuit protection, step-down capabilities, minimal output current ripple, and the elimination of dc bus capacitors. These features can lead to a reduction in overall size and an enhancement in power quality, although CSRs are often associated with higher conversion losses. Recent advancements in applications that can leverage the benefits of CSRs, along with the development of new devices to improve their efficiency, have produced renewed interest in this configuration. This article aims to review the design parameters of CSR components, modulation schemes, and control strategies, while also conducting a loss analysis using both established literature methods and innovative approaches developed by the authors. In addition, a comparison with other topologies is presented, illustrating that in certain applications and conditions, CSRs can be a compelling choice. Thus, rather than focusing on a specific aspect of CSRs, this article provides a comprehensive overview of the topic, offering practical insights for engineers.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"34-47"},"PeriodicalIF":7.9,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10816015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142940705","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}

引用次数: 0

IEEE Open Journal of Industry Applications Information for Authors 面向作者的IEEE工业应用信息开放期刊

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-12-05 DOI: 10.1109/OJIA.2024.3511057

引用次数: 0

Priority-Based DC-Link Voltage Control for Railway Traction Chains With Onboard Energy Storage 基于优先级的车载储能铁路牵引链直流电压控制

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-11-18 DOI: 10.1109/OJIA.2024.3501072

Saad Ahmad;Mariam Saeed;Juan Manuel Guerrero;Iker Muniategui-Aspiazu;Guillermo Nuñez;Igor Larrazabal;Fernando Briz

{"title":"Priority-Based DC-Link Voltage Control for Railway Traction Chains With Onboard Energy Storage","authors":"Saad Ahmad;Mariam Saeed;Juan Manuel Guerrero;Iker Muniategui-Aspiazu;Guillermo Nuñez;Igor Larrazabal;Fernando Briz","doi":"10.1109/OJIA.2024.3501072","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3501072","url":null,"abstract":"Due to the rapid development of power electronics and energy storage technologies, the trend toward electrified railway systems with onboard energy storage systems (OESS) is being followed by main train manufactures. In such systems, the control of the dc-link can be critical for stability and optimal power sharing between different energy sources. This paper presents a dc-link control strategy intended for OESS-based traction chains. A distinguishing characteristic of the proposed method is its ability to smoothly share the power demand among the available power sources, including the kinetic energy of the train, based on predefined priority levels. The control smoothly reacts to changes in the power limits, including no power, of the available energy sources, without modifying the control structure and with negligible variations of dc-link voltage. Simulation results are provided using a real train model with an onboard battery system. Finally, the proposed control is validated on a hardware prototype.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"1-14"},"PeriodicalIF":7.9,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10755978","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142777754","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}

引用次数: 0

High-Performance Voltage-Boost Switched-Coupled-Inductor DC–DC Converters Deduced From Impedance Source Networks 从阻抗源网络推导出的高性能升压型开关耦合电感器 DC-DC 转换器

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-11-05 DOI: 10.1109/OJIA.2024.3490592

Yuliang Ji;Lina Geng

引用次数: 0

Strategy Optimization by Means of Evolutionary Algorithms With Multiple Closing Criteria for Energy Trading 利用进化算法优化策略，为能源交易提供多重平仓标准

IF 7.9

IEEE Open Journal of Industry Applications Pub Date : 2024-10-31 DOI: 10.1109/OJIA.2024.3488857

Silvia Trimarchi;Fabio Casamatta;Francesco Grimaccia;Marco Lorenzo;Alessandro Niccolai

{"title":"Strategy Optimization by Means of Evolutionary Algorithms With Multiple Closing Criteria for Energy Trading","authors":"Silvia Trimarchi;Fabio Casamatta;Francesco Grimaccia;Marco Lorenzo;Alessandro Niccolai","doi":"10.1109/OJIA.2024.3488857","DOIUrl":"https://doi.org/10.1109/OJIA.2024.3488857","url":null,"abstract":"The energy markets are experiencing an enhanced volatility and unpredictability due to the growing integration of renewable energy sources in the grid and to the unstable geopolitical situation that is developing worldwide. Energy traders are therefore raising concerns on how to achieve solutions that not only ensure stability in terms of energy needs, both on the supply and demand side, but also enable profits within these markets. To cope with the complexity of this emerging scenario, tools that support traders in their decisions, such as algorithmic trading strategies, are attracting always more and more attention. In particular, evolutionary algorithms have emerged as an effective tool for developing robust and innovative trading strategies. Indeed, their flexibility and adaptability allow for the inclusion of various performance metrics. This article employs a recently issued evolutionary algorithm, called social network optimization, to identify the optimal closing criteria of already opened positions in an energy commodity market. More specifically, the proposed trading strategy is based on five self-defined parameters, which determine a profitable solution over nearly six years of available data. In particular, the overall average positive return achieved and the maximum monthly yield of 1.9% highlight the adaptability and robustness of the developed algorithmic trading strategy. Therefore, the results suggest the potentialities of developing and upgrading novel trading strategies by exploiting evolutionary computation techniques in the actual complex energy markets.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"5 ","pages":"469-478"},"PeriodicalIF":7.9,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10740313","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645556","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}

引用次数: 0