This article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux (MRASF) for accurate rotor speed estimation in induction motors. The controller is designed to impose specific dynamic behaviors and performance criteria, addressing the sensitivity of MRASF dynamics to slip speed. To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. The proposed control strategy ensures that the estimated rotor speed closely follows the desired performance across various operating conditions. The effectiveness of the MRASF–PID design is validated through both simulation and experimental testing under open-loop voltage/frequency control of the induction machine, confirming the successful realization of the targeted dynamic and steady-state performance.
{"title":"Design and Implementation of PID Adaptation Mechanism for MRAS-Based Speed Estimation of Induction Machine","authors":"Mohamed Amine Fnaiech;Mohamed Trabelsi;Ayman Al-Khazraji;Maamar Taleb;Hani Vahedi","doi":"10.1109/OJIES.2025.3587055","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3587055","url":null,"abstract":"This article proposes the use of a proportional–integral–derivative (PID) controller as an adaptive mechanism within the framework of the model reference adaptive system-based rotor flux (MRASF) for accurate rotor speed estimation in induction motors. The controller is designed to impose specific dynamic behaviors and performance criteria, addressing the sensitivity of MRASF dynamics to slip speed. To achieve this, a full-order transfer function of the MRASF is employed to systematically derive the PID parameters using compensation and pole placement techniques. The proposed control strategy ensures that the estimated rotor speed closely follows the desired performance across various operating conditions. The effectiveness of the MRASF–PID design is validated through both simulation and experimental testing under open-loop voltage/frequency control of the induction machine, confirming the successful realization of the targeted dynamic and steady-state performance.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"1090-1100"},"PeriodicalIF":5.2,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11074712","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687649","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}
Pub Date : 2025-07-03DOI: 10.1109/OJIES.2025.3585749
D. del Giudice;A. Dolara;J. D. Bastidas-Rodriguez;G. Spagnuolo;A. M. Brambilla;F. Bizzarri
Mismatched operating conditions occur very frequently in photovoltaic arrays, especially in urban installations or those that are commonly referred to as agrivoltaic. Mismatches are not only due to partial shading, but also to modules’ construction tolerances and installation mistakes, to maintenance operations, to a different effect of aging on modules, to an uneven distribution of dust, pollution, and snow on the module surfaces. The simulation of photovoltaic arrays operating in mismatched conditions is required in many applications, from plant design to model-based control, from monitoring and diagnosis up to the implementation of a digital twin. Some applications require not only an extreme granularity level (even at the single cell or fractions of it) but also a very fast computation compatible with real-time applications, running on embedded processors. This article introduces a new approach to the simulation of mismatched photovoltaic arrays based on isomorphism. The approach exploits similarities among subsections of the array to minimize the number of nonlinear equations modeling it. The lower the simulation accuracy required, the smaller the rank of the system of equations to solve. The application examples proposed in the article, concerning a PV array affected by a partial shading by nearby objects that changes during the day and a faulty PV field made up of half-cut modules, allow one to quantify the reduction in model complexity and the consequent computation time granted by the proposed technique as a function of the desired accuracy of the simulation results.
{"title":"Isomorphism-Based Fast Simulation of Mismatched Photovoltaic Arrays","authors":"D. del Giudice;A. Dolara;J. D. Bastidas-Rodriguez;G. Spagnuolo;A. M. Brambilla;F. Bizzarri","doi":"10.1109/OJIES.2025.3585749","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3585749","url":null,"abstract":"Mismatched operating conditions occur very frequently in photovoltaic arrays, especially in urban installations or those that are commonly referred to as agrivoltaic. Mismatches are not only due to partial shading, but also to modules’ construction tolerances and installation mistakes, to maintenance operations, to a different effect of aging on modules, to an uneven distribution of dust, pollution, and snow on the module surfaces. The simulation of photovoltaic arrays operating in mismatched conditions is required in many applications, from plant design to model-based control, from monitoring and diagnosis up to the implementation of a digital twin. Some applications require not only an extreme granularity level (even at the single cell or fractions of it) but also a very fast computation compatible with real-time applications, running on embedded processors. This article introduces a new approach to the simulation of mismatched photovoltaic arrays based on isomorphism. The approach exploits similarities among subsections of the array to minimize the number of nonlinear equations modeling it. The lower the simulation accuracy required, the smaller the rank of the system of equations to solve. The application examples proposed in the article, concerning a PV array affected by a partial shading by nearby objects that changes during the day and a faulty PV field made up of half-cut modules, allow one to quantify the reduction in model complexity and the consequent computation time granted by the proposed technique as a function of the desired accuracy of the simulation results.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"1075-1089"},"PeriodicalIF":5.2,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11068156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144687650","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}
Pub Date : 2025-07-02DOI: 10.1109/OJIES.2025.3585439
Joao Dinis;José Alberto;Antonio J. Marques Cardoso
This article introduces the implementation of an adaptive termination impedance alongside a corresponding control algorithm designed for resonant arrays in inductive wireless power transfer systems for vehicle charging applications. The integration of an adaptive termination impedance in the final cell of the array significantly improves both energy transfer between the transmitter array and the receiver. By employing the proposed algorithm, which estimates the receiver’s position relative to the array through voltage and current measurement in the first cell directly connected to the power source, the need for additional position sensors is eliminated. Moreover, this innovative approach not only reduces the number of components but also lowers system cost and complexity, while allowing the system to be modular, as the proposed method works for any number of array cells. The effectiveness of the proposed solution has been validated through comprehensive simulations and experimental testing.
{"title":"Optimization of Resonant Arrays for Dynamic Wireless Power Transfer Using Adaptive Termination","authors":"Joao Dinis;José Alberto;Antonio J. Marques Cardoso","doi":"10.1109/OJIES.2025.3585439","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3585439","url":null,"abstract":"This article introduces the implementation of an adaptive termination impedance alongside a corresponding control algorithm designed for resonant arrays in inductive wireless power transfer systems for vehicle charging applications. The integration of an adaptive termination impedance in the final cell of the array significantly improves both energy transfer between the transmitter array and the receiver. By employing the proposed algorithm, which estimates the receiver’s position relative to the array through voltage and current measurement in the first cell directly connected to the power source, the need for additional position sensors is eliminated. Moreover, this innovative approach not only reduces the number of components but also lowers system cost and complexity, while allowing the system to be modular, as the proposed method works for any number of array cells. The effectiveness of the proposed solution has been validated through comprehensive simulations and experimental testing.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"1066-1074"},"PeriodicalIF":5.2,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11066279","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144597749","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}
Pub Date : 2025-06-30DOI: 10.1109/OJIES.2025.3526497
{"title":"IEEE Industrial Electronics Society Information","authors":"","doi":"10.1109/OJIES.2025.3526497","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3526497","url":null,"abstract":"","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"C3-C3"},"PeriodicalIF":5.2,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11059357","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519369","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}
Pub Date : 2025-06-30DOI: 10.1109/OJIES.2025.3526495
{"title":"IEEE Open Journal of the Industrial Electronics Society Publication Information","authors":"","doi":"10.1109/OJIES.2025.3526495","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3526495","url":null,"abstract":"","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"C2-C2"},"PeriodicalIF":5.2,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11059354","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519401","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}
Pub Date : 2025-06-30DOI: 10.1109/OJIES.2025.3526493
{"title":"IEEE Open Journal of the Industrial Electronics Society Instructions for Authors","authors":"","doi":"10.1109/OJIES.2025.3526493","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3526493","url":null,"abstract":"","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"C4-C4"},"PeriodicalIF":5.2,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11059356","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144519402","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}
Pub Date : 2025-06-23DOI: 10.1109/OJIES.2025.3582482
Francesco Ferracuti;Riccardo Felicetti;Luca Cavanini;Patrick Schweitzer;Andrea Monteriù
This article presents a method to detect and classify series arc faults affecting domestic AC electrical circuits by the analysis of electric current time series data, based on the HYDRA (HYbrid Dictionary-Rocket Architecture) algorithm, a fast dictionary method for time series classification employing competing convolutional kernels. The key novel contributions are twofold: Competing convolutional kernels are suitable to effectively extract features representing an effective set of arc fault detection indicators, and the classification performed in this way is feasible to be executed in real time. The proposed method is validated using a public database, where data from 13 different types of loads is collected according to the IEC 62606 standard. To reduce inference time and optimize the algorithm for embedded control units, a feature reduction strategy is employed. The effectiveness of the proposed method is demonstrated through experimental tests conducted under both arcing and non-arcing conditions and across different load types. Moreover, its accuracy is also tested in case of transients caused by operational changes in common electrical appliances. Achieved results show a detection accuracy of approximately 99%, with appliance classification performance around 98%, with inference times ranging from 2.8 to 172.0 ms while executing the algorithm on an ARM Cortex-based board.
{"title":"Real-Time Series Arc Fault Detection and Appliances Classification in AC Networks Based on Competing Convolutional Kernels","authors":"Francesco Ferracuti;Riccardo Felicetti;Luca Cavanini;Patrick Schweitzer;Andrea Monteriù","doi":"10.1109/OJIES.2025.3582482","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3582482","url":null,"abstract":"This article presents a method to detect and classify series arc faults affecting domestic AC electrical circuits by the analysis of electric current time series data, based on the HYDRA (HYbrid Dictionary-Rocket Architecture) algorithm, a fast dictionary method for time series classification employing competing convolutional kernels. The key novel contributions are twofold: Competing convolutional kernels are suitable to effectively extract features representing an effective set of arc fault detection indicators, and the classification performed in this way is feasible to be executed in real time. The proposed method is validated using a public database, where data from 13 different types of loads is collected according to the IEC 62606 standard. To reduce inference time and optimize the algorithm for embedded control units, a feature reduction strategy is employed. The effectiveness of the proposed method is demonstrated through experimental tests conducted under both arcing and non-arcing conditions and across different load types. Moreover, its accuracy is also tested in case of transients caused by operational changes in common electrical appliances. Achieved results show a detection accuracy of approximately 99%, with appliance classification performance around 98%, with inference times ranging from 2.8 to 172.0 ms while executing the algorithm on an ARM Cortex-based board.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"1050-1065"},"PeriodicalIF":5.2,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11048510","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144557939","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}
Pub Date : 2025-06-19DOI: 10.1109/OJIES.2025.3581076
Carlos Resende;João Oliveira;Filipe Sousa;Waldir Moreira;Luis Almeida Sousa
Internet of Things (IoT) driven digitalization is shifting data processing to the edge, reducing the burden of constant cloud communication. Advances in resource-constrained microcontroller-based IoT devices that interact with the environment, such as in cyber-physical production systems, enable them to assist in computation offloading, extending edge computing into the so-called far-edge that includes such devices. However, updating these devices often requires manual interventions, full firmware updates, or proprietary tools, leading to potential application downtime. To fully leverage far-edge enhanced computing capabilities, it is crucial to integrate far-edge devices with cloud orchestration tools, streamlining service management and deployment along the cloud to the far-edge continuum. Current approaches overlook these devices’ computing power and their potential to host services, supporting IoT continuum orchestration only from the cloud to the edge. This article introduces far-edge IoT device management (FITA), the first platform that integrates far-edge devices into Kubernetes-based infrastructures. FITA provides a far-edge container-like solution compliant with the open container initiative. It extends Kubernetes to support service deployment on heterogeneous far-edge devices seamlessly and provides a method for creating virtual representations of far-edge devices to expose their unique capabilities to the Kubernetes scheduler. Our evaluation shows a mean deployment time on clusters with 500 services and 100 devices of around 600 ms, and a device registration time of around 1080 ms, with CPU and memory consumption of around 23 milicores and 1500 MB, respectively. Overall, FITA improves service continuity, deployment speed, and application resilience, supporting the future of the IoT, particularly in industry.
{"title":"Improving Far-Edge Device Management in IoT Applications Using Kubernetes","authors":"Carlos Resende;João Oliveira;Filipe Sousa;Waldir Moreira;Luis Almeida Sousa","doi":"10.1109/OJIES.2025.3581076","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3581076","url":null,"abstract":"Internet of Things (IoT) driven digitalization is shifting data processing to the edge, reducing the burden of constant cloud communication. Advances in resource-constrained microcontroller-based IoT devices that interact with the environment, such as in cyber-physical production systems, enable them to assist in computation offloading, extending edge computing into the so-called far-edge that includes such devices. However, updating these devices often requires manual interventions, full firmware updates, or proprietary tools, leading to potential application downtime. To fully leverage far-edge enhanced computing capabilities, it is crucial to integrate far-edge devices with cloud orchestration tools, streamlining service management and deployment along the cloud to the far-edge continuum. Current approaches overlook these devices’ computing power and their potential to host services, supporting IoT continuum orchestration only from the cloud to the edge. This article introduces far-edge IoT device management (FITA), the first platform that integrates far-edge devices into Kubernetes-based infrastructures. FITA provides a far-edge container-like solution compliant with the open container initiative. It extends Kubernetes to support service deployment on heterogeneous far-edge devices seamlessly and provides a method for creating virtual representations of far-edge devices to expose their unique capabilities to the Kubernetes scheduler. Our evaluation shows a mean deployment time on clusters with 500 services and 100 devices of around 600 ms, and a device registration time of around 1080 ms, with CPU and memory consumption of around 23 milicores and 1500 MB, respectively. Overall, FITA improves service continuity, deployment speed, and application resilience, supporting the future of the IoT, particularly in industry.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"1027-1049"},"PeriodicalIF":5.2,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11044429","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144550393","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}
Industrial edge computing provides new possibilities for traditional industrial automation systems. With massive computing, storage, and communication resources equipped with devices on the shop floor, a typical edge device can simultaneously handle multiple real-time and non-real-time tasks. Also, those tasks may include operation technologies, such as real-time control, and information technologies, such as data processing. Using a generic modeling language to design those new industrial edge applications becomes a challenge for site engineers. This paper proposes the IEC 61499 standard for operation and information technology convergence for industrial edge applications. The concurrent execution semantics of IEC 61499 function blocks are defined to support multiple applications simultaneously. The event scheduling rules are investigated to ensure the determinism of parallel executions of function block networks. Finally, a case study is provided for the performance analysis of the proposed concurrent execution semantics.
{"title":"Concurrent Deterministic Execution Semantics for IEC 61499-Based OT–IT Convergence Industrial Edge Applications","authors":"Wenbin Dai;Shang Gao;Kaiyun Qin;Chuanyang Yu;Dongdong Zhang;Likuan Zhang;Hui Zhang","doi":"10.1109/OJIES.2025.3578861","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3578861","url":null,"abstract":"Industrial edge computing provides new possibilities for traditional industrial automation systems. With massive computing, storage, and communication resources equipped with devices on the shop floor, a typical edge device can simultaneously handle multiple real-time and non-real-time tasks. Also, those tasks may include operation technologies, such as real-time control, and information technologies, such as data processing. Using a generic modeling language to design those new industrial edge applications becomes a challenge for site engineers. This paper proposes the IEC 61499 standard for operation and information technology convergence for industrial edge applications. The concurrent execution semantics of IEC 61499 function blocks are defined to support multiple applications simultaneously. The event scheduling rules are investigated to ensure the determinism of parallel executions of function block networks. Finally, a case study is provided for the performance analysis of the proposed concurrent execution semantics.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"982-993"},"PeriodicalIF":5.2,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11030848","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492202","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}
In this article, a new type of self-powered active mass damper (SPAMD) based on permanent magnet synchronous motor is designed for large-scale flexible structure vibration reduction systems. SPAMD can fully utilize the characteristics of four-quadrant operation of the motor, enabling active suppression of structural vibration while recovering energy. To achieve active vibration reduction control, a distributed control strategy of multiple energy-interconnected self-powered active mass dampers is proposed. Therein, a multilevel substructure method is employed to allocate actuators across different levels of the substructure systems. In addition, a distributed economic model predictive control (DEMPC) strategy is presented to optimize control inputs, which can ensure that the flexible structural system achieves optimal energy recovery power while satisfying certain state constraints. Consequently, the coordinated control of system performance and energy recovery is achieved under self-powered conditions. Extensive experiments on the dSPACE DS1006 platform are carried out to verify the feasibility of the proposed DEMPC method.
{"title":"Distributed Economic Model Predictive Control-Based Self-Powered Active Vibration Control of Flexible Structures With PMSM Electromagnetic Damper","authors":"Kaixin Cheng;Yuanbo Guo;Ze Li;Qigang Liang;Luyu Li;Xiaohua Zhang","doi":"10.1109/OJIES.2025.3576603","DOIUrl":"https://doi.org/10.1109/OJIES.2025.3576603","url":null,"abstract":"In this article, a new type of self-powered active mass damper (SPAMD) based on permanent magnet synchronous motor is designed for large-scale flexible structure vibration reduction systems. SPAMD can fully utilize the characteristics of four-quadrant operation of the motor, enabling active suppression of structural vibration while recovering energy. To achieve active vibration reduction control, a distributed control strategy of multiple energy-interconnected self-powered active mass dampers is proposed. Therein, a multilevel substructure method is employed to allocate actuators across different levels of the substructure systems. In addition, a distributed economic model predictive control (DEMPC) strategy is presented to optimize control inputs, which can ensure that the flexible structural system achieves optimal energy recovery power while satisfying certain state constraints. Consequently, the coordinated control of system performance and energy recovery is achieved under self-powered conditions. Extensive experiments on the dSPACE DS1006 platform are carried out to verify the feasibility of the proposed DEMPC method.","PeriodicalId":52675,"journal":{"name":"IEEE Open Journal of the Industrial Electronics Society","volume":"6 ","pages":"994-1013"},"PeriodicalIF":5.2,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11023879","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144492384","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}
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