Pub Date : 2026-01-13DOI: 10.1109/OJIA.2026.3653767
Francisco Ulloa-Herrera;Kuntal Mandal;Edgar Zahonero-Zahonero;Jordi Canals-Mascorda;Xavier Genaro-Muñoz;Javier A. Corea-Araujo
This article presents a comprehensive methodology for mapping and controlling interior permanent magnet synchronous motors (IPMSMs), with a specific focus on their application in electric vehicles (EVs). This study details the acquisition of current mapping data from an IPMSM of an EV under various operating conditions. The sweep of the full-range speed and torque test points was performed on a chassis roll dynamometer for the in-vehicle electric drive unit of a 170-kW Polestar 2 EV. The vehicle was instrumented to collect the essential data using synchronized data acquisition systems along with vehicle's controller area network bus. To validate the effectiveness of the proposed methodology in real-world scenarios, experimental tests and calibration were performed on a motor test. Only the motor is removed from the vehicle, and a custom inverter/controller with a battery simulator and cooling system was installed to bypass the proprietary access restrictions of the original equipment manufacturers. After processing, the dataset extracted from the dynamometer test is subsequently integrated into a lookup-table-based field-oriented control strategy. The experimental tests performed on the motor test bench demonstrate the efficacy and practicality of the methodology, successfully validating its applicability in four-quadrant operation.
{"title":"Calibration of an Electric Drive Unit Test Bench Using an In-Vehicle Control Mapping Methodology for High-Power Applications","authors":"Francisco Ulloa-Herrera;Kuntal Mandal;Edgar Zahonero-Zahonero;Jordi Canals-Mascorda;Xavier Genaro-Muñoz;Javier A. Corea-Araujo","doi":"10.1109/OJIA.2026.3653767","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3653767","url":null,"abstract":"This article presents a comprehensive methodology for mapping and controlling interior permanent magnet synchronous motors (IPMSMs), with a specific focus on their application in electric vehicles (EVs). This study details the acquisition of current mapping data from an IPMSM of an EV under various operating conditions. The sweep of the full-range speed and torque test points was performed on a chassis roll dynamometer for the in-vehicle electric drive unit of a 170-kW Polestar 2 EV. The vehicle was instrumented to collect the essential data using synchronized data acquisition systems along with vehicle's controller area network bus. To validate the effectiveness of the proposed methodology in real-world scenarios, experimental tests and calibration were performed on a motor test. Only the motor is removed from the vehicle, and a custom inverter/controller with a battery simulator and cooling system was installed to bypass the proprietary access restrictions of the original equipment manufacturers. After processing, the dataset extracted from the dynamometer test is subsequently integrated into a lookup-table-based field-oriented control strategy. The experimental tests performed on the motor test bench demonstrate the efficacy and practicality of the methodology, successfully validating its applicability in four-quadrant operation.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"132-147"},"PeriodicalIF":3.3,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11348068","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146082164","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 : 2026-01-12DOI: 10.1109/OJIA.2026.3652085
Bruno Meneghel Zilli;Lucas Jonys Ribeiro Silva;Thales Augusto Fagundes;Diego dos Santos Carneiro;Cassius Rossi de Aguiar;Ricardo Quadros Machado
Harmonic currents in microgrids (MGs)have increased significantly due to the evolving characteristics of power electronics, generation systems, and load profiles. Improper sharing of these currents among distributed generators (DGs) can lead to overload and reduced reliability. This article proposes a consensus-based secondary control strategy that enables proportional sharing of both fundamental and harmonic currents among DGs in ac MGs. The primary control level employs voltage and current parallel control using proportional–resonant controllers. Through the exchange of current amplitudes and total harmonic distortion (THD) over a communication network, the proposed method dynamically adjusts each DG reference currents to reflect its capacity, thus preventing overload. The strategy operates seamlessly in both islanded and grid-connected modes, without switching logic states, avoiding discontinuities that could cause high-frequency oscillations or instability. In addition, a THD equalization layer improves harmonic distribution, ensuring compliance with standard limits. Simulation and experimental results demonstrate the method’s resilience to communication failures and its plug-and-play capability, highlighting its practical applicability in modern MGs.
{"title":"Consensus Management Designed for Independent Harmonic Compensation in AC Microgrids","authors":"Bruno Meneghel Zilli;Lucas Jonys Ribeiro Silva;Thales Augusto Fagundes;Diego dos Santos Carneiro;Cassius Rossi de Aguiar;Ricardo Quadros Machado","doi":"10.1109/OJIA.2026.3652085","DOIUrl":"https://doi.org/10.1109/OJIA.2026.3652085","url":null,"abstract":"Harmonic currents in microgrids (MGs)have increased significantly due to the evolving characteristics of power electronics, generation systems, and load profiles. Improper sharing of these currents among distributed generators (DGs) can lead to overload and reduced reliability. This article proposes a consensus-based secondary control strategy that enables proportional sharing of both fundamental and harmonic currents among DGs in ac MGs. The primary control level employs voltage and current parallel control using proportional–resonant controllers. Through the exchange of current amplitudes and total harmonic distortion (THD) over a communication network, the proposed method dynamically adjusts each DG reference currents to reflect its capacity, thus preventing overload. The strategy operates seamlessly in both islanded and grid-connected modes, without switching logic states, avoiding discontinuities that could cause high-frequency oscillations or instability. In addition, a THD equalization layer improves harmonic distribution, ensuring compliance with standard limits. Simulation and experimental results demonstrate the method’s resilience to communication failures and its plug-and-play capability, highlighting its practical applicability in modern MGs.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"117-131"},"PeriodicalIF":3.3,"publicationDate":"2026-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11339982","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026331","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 : 2025-12-29DOI: 10.1109/OJIA.2025.3649093
Shou Qiu;Muhammad R. Fabio;Ryo Kokubu;Chenyang Lyu;Kyohei Kiyota
Switched reluctance motors (SRMs) are an attractive magnet-free alternative to permanent magnet synchronous motors for applications, such as electric vehicles, but their adoption is hindered by significant torque ripple, which causes both poor drivability and excessive acoustic noise. Existing control strategies often struggle to track the complex, nonsinusoidal currents required for ripple suppression, or they rely on burdensome and inaccurate premeasured motor models. To overcome these limitations, this article proposes an integrated methodology founded on the internal model principle. The approach features two key contributions as follows. 1) A torque ripple suppression technique based on the finding that a specific current harmonic can be manipulated to minimize ripple, this harmonic is decoupled from the average torque, allowing for the independent tuning of ripple and torque. 2) A specialized current controller that achieves robust tracking of the required harmonic waveform without needing an inductance model. The effectiveness of the proposed method is demonstrated through experimental studies.
{"title":"Robust Current Regulation for Harmonic Current Injected Torque Ripple Suppression in Switched Reluctance Motor Drives","authors":"Shou Qiu;Muhammad R. Fabio;Ryo Kokubu;Chenyang Lyu;Kyohei Kiyota","doi":"10.1109/OJIA.2025.3649093","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3649093","url":null,"abstract":"Switched reluctance motors (SRMs) are an attractive magnet-free alternative to permanent magnet synchronous motors for applications, such as electric vehicles, but their adoption is hindered by significant torque ripple, which causes both poor drivability and excessive acoustic noise. Existing control strategies often struggle to track the complex, nonsinusoidal currents required for ripple suppression, or they rely on burdensome and inaccurate premeasured motor models. To overcome these limitations, this article proposes an integrated methodology founded on the internal model principle. The approach features two key contributions as follows. 1) A torque ripple suppression technique based on the finding that a specific current harmonic can be manipulated to minimize ripple, this harmonic is decoupled from the average torque, allowing for the independent tuning of ripple and torque. 2) A specialized current controller that achieves robust tracking of the required harmonic waveform without needing an inductance model. The effectiveness of the proposed method is demonstrated through experimental studies.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"90-103"},"PeriodicalIF":3.3,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11316614","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982220","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 : 2025-12-25DOI: 10.1109/OJIA.2025.3648282
Kangbeen Lee;Hyunwoo Kim;Junhyuk Im;Suaib Al Sufi;Chanyeop Park;Woongkul Lee
Partial discharge (PD) is a localized insulation failure that occurs without completely bridging the electrodes. While PD in sinusoidal excitations has been extensively studied with conventional detection and analysis methods, wide bandgap (WBG)-based electric drives introduce new challenges due to their high-frequency and high-speed switching. These features give rise to nonuniform voltage and charge distributions, along with voltage overshoot and ringing, governed by a geometry of PD object and drive parameters such as switching frequency and slew rate. Moreover, these fast-switching transients complicate PD detection due to electromagnetic interference (EMI). This article reviews PD characteristics in WBG-based drives, highlighting the challenges in WBG-based drives. The review explores opportunities to improve PD location prediction through voltage distribution analysis based on the impedance of PD objects, as well as to optimize insulation design by considering charge distribution and methods for reducing the electric field across the insulation. Furthermore, it discusses methods to improve the signal-to-noise ratio of PD detection, including a reduction of common-mode voltage and current with active EMI filters, thereby enhancing detection reliability in WBG-based electric drives.
{"title":"A Review of Partial Discharge in High-Frequency and High-Speed WBG-Based Electric Drives","authors":"Kangbeen Lee;Hyunwoo Kim;Junhyuk Im;Suaib Al Sufi;Chanyeop Park;Woongkul Lee","doi":"10.1109/OJIA.2025.3648282","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3648282","url":null,"abstract":"Partial discharge (PD) is a localized insulation failure that occurs without completely bridging the electrodes. While PD in sinusoidal excitations has been extensively studied with conventional detection and analysis methods, wide bandgap (WBG)-based electric drives introduce new challenges due to their high-frequency and high-speed switching. These features give rise to nonuniform voltage and charge distributions, along with voltage overshoot and ringing, governed by a geometry of PD object and drive parameters such as switching frequency and slew rate. Moreover, these fast-switching transients complicate PD detection due to electromagnetic interference (EMI). This article reviews PD characteristics in WBG-based drives, highlighting the challenges in WBG-based drives. The review explores opportunities to improve PD location prediction through voltage distribution analysis based on the impedance of PD objects, as well as to optimize insulation design by considering charge distribution and methods for reducing the electric field across the insulation. Furthermore, it discusses methods to improve the signal-to-noise ratio of PD detection, including a reduction of common-mode voltage and current with active EMI filters, thereby enhancing detection reliability in WBG-based electric drives.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"79-89"},"PeriodicalIF":3.3,"publicationDate":"2025-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11315872","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982251","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}
The rapid integration of electric vehicle (EV) infrastructure, particularly EV charging stations (EVCS) and battery swapping stations (BSS), has introduced new challenges to modern distribution networks due to dynamic and uncertain load profiles. This article proposes a comprehensive profit maximization framework aimed at improving economic outcomes for three key stakeholder groups: EVCS operators, BSS operators, and distribution network consumers. The model integrates demand-side management strategies such as load shifting and load curtailment to mitigate undesirable load fluctuations while enhancing operational efficiency. A hybrid metaheuristic optimization technique combining differential evolution with prairie dog optimization is used to solve the multientity coordination problem. Extensive simulation studies are carried out on a 118-bus radial distribution network under six different case studies. Results indicate that simultaneous profit maximization across all stakeholders yields superior economic performance compared to individual optimization. The proposed framework achieves up to 18.7% higher total profit. Specifically, EVCS operators, BSS operators, and demand-side participants benefit from profit improvements of 21.9%, 24.2%, 49.9%, and 2.5%, respectively, highlighting the economic viability of the proposed coordinated approach across all six operational cases.
{"title":"Profit Maximization of Distribution Network Stakeholders Facilitating EV Demands With Adaptive Demand Side Management Policies","authors":"Manoj Saha;Siddhartha Sankar Thakur;Aniruddha Bhattacharya;Bishwajit Dey","doi":"10.1109/OJIA.2025.3647633","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647633","url":null,"abstract":"The rapid integration of electric vehicle (EV) infrastructure, particularly EV charging stations (EVCS) and battery swapping stations (BSS), has introduced new challenges to modern distribution networks due to dynamic and uncertain load profiles. This article proposes a comprehensive profit maximization framework aimed at improving economic outcomes for three key stakeholder groups: EVCS operators, BSS operators, and distribution network consumers. The model integrates demand-side management strategies such as load shifting and load curtailment to mitigate undesirable load fluctuations while enhancing operational efficiency. A hybrid metaheuristic optimization technique combining differential evolution with prairie dog optimization is used to solve the multientity coordination problem. Extensive simulation studies are carried out on a 118-bus radial distribution network under six different case studies. Results indicate that simultaneous profit maximization across all stakeholders yields superior economic performance compared to individual optimization. The proposed framework achieves up to 18.7% higher total profit. Specifically, EVCS operators, BSS operators, and demand-side participants benefit from profit improvements of 21.9%, 24.2%, 49.9%, and 2.5%, respectively, highlighting the economic viability of the proposed coordinated approach across all six operational cases.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"65-78"},"PeriodicalIF":3.3,"publicationDate":"2025-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11314678","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145982245","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 : 2025-12-23DOI: 10.1109/OJIA.2025.3647228
Hamdihun A. Dawed;Khaled Ali Al Jaafari;Abdul R. Beig;Zeyar Aung
Multiphase machines are gaining traction in electric vehicle propulsion systems due to their inherent fault tolerance and superior torque performance. Nevertheless, due to insulation degradation, manufacturing defects, or thermal and mechanical stresses, interturn short-circuit (ITSC) faults can occur. If undetected, this will lead to performance degradation and potential failure, compromising drive reliability. Existing detection methods often rely on low-pass filtering, spectral analysis, or complex feature extraction, increasing computational burden and reducing real-time applicability. This article proposes an adaptive least-mean-square-based approach that actively suppresses unwanted harmonic currents while using the fundamental harmonic compensation voltage as a direct ITSC fault severity indicator. The proposed method improves real-time fault detection and severity assessment without requiring additional hardware, filtering, or spectral analysis. Experimental validation confirms its computational efficiency and suitability for real-time ITSC fault monitoring.
{"title":"Multi-LMS Harmonic Compensation for Real-Time Detection of Interturn Short-Circuit Fault in Six-Phase Induction Machines","authors":"Hamdihun A. Dawed;Khaled Ali Al Jaafari;Abdul R. Beig;Zeyar Aung","doi":"10.1109/OJIA.2025.3647228","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647228","url":null,"abstract":"Multiphase machines are gaining traction in electric vehicle propulsion systems due to their inherent fault tolerance and superior torque performance. Nevertheless, due to insulation degradation, manufacturing defects, or thermal and mechanical stresses, interturn short-circuit (ITSC) faults can occur. If undetected, this will lead to performance degradation and potential failure, compromising drive reliability. Existing detection methods often rely on low-pass filtering, spectral analysis, or complex feature extraction, increasing computational burden and reducing real-time applicability. This article proposes an adaptive least-mean-square-based approach that actively suppresses unwanted harmonic currents while using the fundamental harmonic compensation voltage as a direct ITSC fault severity indicator. The proposed method improves real-time fault detection and severity assessment without requiring additional hardware, filtering, or spectral analysis. Experimental validation confirms its computational efficiency and suitability for real-time ITSC fault monitoring.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"36-47"},"PeriodicalIF":3.3,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313478","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145929492","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 : 2025-12-23DOI: 10.1109/OJIA.2025.3647021
Pengwei Li;Zhe Zhang;Ali Bazzi
There is growing demand for robust sensorless control of permanent magnet synchronous motors (PMSMs), but conventional methods using phase locked loops (PLLs) are computationally intensive and offer limited back-Electromotive Force (back-EMF) distortion compensation across wide speed ranges. To address this issue, this article focuses on an optimized second-order general integrator (SOGI) with frequency lock loop (FLL) and look-up table (LUT) to observe back-EMF for sensorless control of PMSMs. The observer is based on a reduced-order back-EMF model that utilizes the voltage equation in α-axis and relies on a single SOGI to estimate the fundamental back-EMF component in both α- and β-axes. This article further derives the SOGI-FLL observer model to guide parameter design and implementation and evaluates robustness through sensitivity analysis. Harmonic distortion in back-EMF is addressed using a time-domain numerical LUT. The observer is implemented in discrete time on a dSPACE PMSM drive platform. Simulations and experiments under various conditions confirm its effectiveness over two conventional sensorless algorithms.
{"title":"Hybrid SOGI-FLL-LUT Sensorless PMSM Drive With Back-EMF Distortion Elimination","authors":"Pengwei Li;Zhe Zhang;Ali Bazzi","doi":"10.1109/OJIA.2025.3647021","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3647021","url":null,"abstract":"There is growing demand for robust sensorless control of permanent magnet synchronous motors (PMSMs), but conventional methods using phase locked loops (PLLs) are computationally intensive and offer limited back-Electromotive Force (back-EMF) distortion compensation across wide speed ranges. To address this issue, this article focuses on an optimized second-order general integrator (SOGI) with frequency lock loop (FLL) and look-up table (LUT) to observe back-EMF for sensorless control of PMSMs. The observer is based on a reduced-order back-EMF model that utilizes the voltage equation in <italic>α</i>-axis and relies on a single SOGI to estimate the fundamental back-EMF component in both <italic>α-</i> and <italic>β-</i>axes. This article further derives the SOGI-FLL observer model to guide parameter design and implementation and evaluates robustness through sensitivity analysis. Harmonic distortion in back-EMF is addressed using a time-domain numerical LUT. The observer is implemented in discrete time on a dSPACE PMSM drive platform. Simulations and experiments under various conditions confirm its effectiveness over two conventional sensorless algorithms.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"104-116"},"PeriodicalIF":3.3,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11313479","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146026332","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 : 2025-12-22DOI: 10.1109/OJIA.2025.3646314
{"title":"IEEE Open Journal of Industry Applications Information for Authors","authors":"","doi":"10.1109/OJIA.2025.3646314","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3646314","url":null,"abstract":"","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"C3-C3"},"PeriodicalIF":3.3,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11308149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830784","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 : 2025-12-22DOI: 10.1109/OJIA.2025.3646312
{"title":"IEEE Industry Applications Society Information","authors":"","doi":"10.1109/OJIA.2025.3646312","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3646312","url":null,"abstract":"","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"7 ","pages":"C2-C2"},"PeriodicalIF":3.3,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11309342","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830787","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 : 2025-12-10DOI: 10.1109/OJIA.2025.3642246
Yussuf Shakhin;Ahmad Bala Alhassan;Nguyen Gia Minh Thao;Ton Duc Do
Although continuous-time analyzes offer valuable theoretical insights into improving robustness, they often fail to incorporate critical sampling effects and other discrete-time (DT) dynamics essential for practical implementations. Consequently, DT analyzes are required to comprehensively evaluate how various discretization approaches influence system performance and robustness in servo-drive applications. This study investigates a discrete disturbance observer (DOB) framework for servo-drive systems, examining both differentiator- and estimator-based DOB designs implemented via Euler and Tustin discretization methods. By analyzing the impact of these designs on sensitivity peaks, noise sensitivity, and disturbance rejection, the study derives design constraints for the nominal plant model and observer bandwidth using DT sensitivity analyses and the Bode integral theorem. Theoretical evaluations and experimental results consistently demonstrate that the Tustin method, particularly when applied to differentiator-based DOB, delivers better disturbance attenuation and control performance. This systematic approach not only provides practical guidelines for tuning DOB parameters, but also assists in choosing discretization techniques most suitable for optimizing practical servo drive systems in real-world applications.
{"title":"Discrete Disturbance Observer Design, Analysis and Evaluation for Servo Drive Systems","authors":"Yussuf Shakhin;Ahmad Bala Alhassan;Nguyen Gia Minh Thao;Ton Duc Do","doi":"10.1109/OJIA.2025.3642246","DOIUrl":"https://doi.org/10.1109/OJIA.2025.3642246","url":null,"abstract":"Although continuous-time analyzes offer valuable theoretical insights into improving robustness, they often fail to incorporate critical sampling effects and other discrete-time (DT) dynamics essential for practical implementations. Consequently, DT analyzes are required to comprehensively evaluate how various discretization approaches influence system performance and robustness in servo-drive applications. This study investigates a discrete disturbance observer (DOB) framework for servo-drive systems, examining both differentiator- and estimator-based DOB designs implemented via Euler and Tustin discretization methods. By analyzing the impact of these designs on sensitivity peaks, noise sensitivity, and disturbance rejection, the study derives design constraints for the nominal plant model and observer bandwidth using DT sensitivity analyses and the Bode integral theorem. Theoretical evaluations and experimental results consistently demonstrate that the Tustin method, particularly when applied to differentiator-based DOB, delivers better disturbance attenuation and control performance. This systematic approach not only provides practical guidelines for tuning DOB parameters, but also assists in choosing discretization techniques most suitable for optimizing practical servo drive systems in real-world applications.","PeriodicalId":100629,"journal":{"name":"IEEE Open Journal of Industry Applications","volume":"6 ","pages":"877-891"},"PeriodicalIF":3.3,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11295957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145778122","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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