Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589094
M. E. Zarei, M. Prodanović, D. Ramírez
This paper presents a simple multi-vector model predictive power control (MV-MPPC) strategy for the rotor side converter (RSC) of a doubly fed induction generator (DFIG). In this strategy, the stator active and reactive power derivatives for the three vectors are estimated for the upcoming period and the duration time of these vectors is predicted according to a cost function. The objective of the cost function is to decrease the stator power errors. The proposed model predictive control is validated in Matlab/Simulink environment and in the laboratory for a 5 KW DFIG prototype. The simulation and experimental results showed that the proposed method has a fast dynamic response to the power and rotor speed changes and it has a constant switching frequency.
{"title":"Doubly Fed Induction Generator with Multi-Vector Model Predictive Power Control","authors":"M. E. Zarei, M. Prodanović, D. Ramírez","doi":"10.1109/IECON48115.2021.9589094","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589094","url":null,"abstract":"This paper presents a simple multi-vector model predictive power control (MV-MPPC) strategy for the rotor side converter (RSC) of a doubly fed induction generator (DFIG). In this strategy, the stator active and reactive power derivatives for the three vectors are estimated for the upcoming period and the duration time of these vectors is predicted according to a cost function. The objective of the cost function is to decrease the stator power errors. The proposed model predictive control is validated in Matlab/Simulink environment and in the laboratory for a 5 KW DFIG prototype. The simulation and experimental results showed that the proposed method has a fast dynamic response to the power and rotor speed changes and it has a constant switching frequency.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121993453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589193
D. Lopez, N. Muller, H. Renaudineau, S. Kouro, José Raúl Rodríguez Rodríguez
Differential-mode inverter is an attractive solution for photovoltaic (PV) microinverter applications since this structure allows to perform both voltage elevation and grid connection in a single conversion stage. In this paper a partial power differential mode inverter (PPDMI) is proposed. It is demonstrated that by using two partial power converter, the proposed solution allows to reduce the power rating of the structure by 15% in comparison to full-power structure. Moreover, averaged power processed by the converter is also reduced by 33%. In order to validate the proposed converter a PV microinverter realized with a flyback-based PPDMI has been simulated. The results show the attractiveness of the solution with estimated efficiency reaching 94.6%.
{"title":"Partial power differential-mode inverter for photovoltaic microinverter applications","authors":"D. Lopez, N. Muller, H. Renaudineau, S. Kouro, José Raúl Rodríguez Rodríguez","doi":"10.1109/IECON48115.2021.9589193","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589193","url":null,"abstract":"Differential-mode inverter is an attractive solution for photovoltaic (PV) microinverter applications since this structure allows to perform both voltage elevation and grid connection in a single conversion stage. In this paper a partial power differential mode inverter (PPDMI) is proposed. It is demonstrated that by using two partial power converter, the proposed solution allows to reduce the power rating of the structure by 15% in comparison to full-power structure. Moreover, averaged power processed by the converter is also reduced by 33%. In order to validate the proposed converter a PV microinverter realized with a flyback-based PPDMI has been simulated. The results show the attractiveness of the solution with estimated efficiency reaching 94.6%.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122097575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589832
M. Comanescu
The paper presents a simple method to estimate the quantities needed for implementation of sensorless control for the Permanent Magnet Synchronous Motor (PMSM). In sensorless control, the speed, EMFs and rotor position of the motor need to be estimated using the terminal quantities (measured voltages and currents). The paper proposes a sequential estimation approach: the speed is estimated first; then, it is used in the estimation of the EMFs and rotor position. The speed is obtained using a Phase Locked Loop (PLL) synchronized with the motor voltages. The PLL does not depend on the motor parameters and yields a speed estimate with guaranteed zero steady-state error. The availability of the motor speed allows to improve the estimation of the EMFs and rotor position using speed dependent gains and angle correction. The paper presents a simple sliding mode observer whose estimation accuracy is improved using the speed estimate. The results are validated with simulations. The method presented is simple and easy to implement. The estimators presented are reliable, accurate, depend on a minimal set of parameters and yield zero steady-state error.
{"title":"Speed, EMF and Rotor Position Estimation of PMSM using Phase Locked Loop and Simple Sliding Mode Observer","authors":"M. Comanescu","doi":"10.1109/IECON48115.2021.9589832","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589832","url":null,"abstract":"The paper presents a simple method to estimate the quantities needed for implementation of sensorless control for the Permanent Magnet Synchronous Motor (PMSM). In sensorless control, the speed, EMFs and rotor position of the motor need to be estimated using the terminal quantities (measured voltages and currents). The paper proposes a sequential estimation approach: the speed is estimated first; then, it is used in the estimation of the EMFs and rotor position. The speed is obtained using a Phase Locked Loop (PLL) synchronized with the motor voltages. The PLL does not depend on the motor parameters and yields a speed estimate with guaranteed zero steady-state error. The availability of the motor speed allows to improve the estimation of the EMFs and rotor position using speed dependent gains and angle correction. The paper presents a simple sliding mode observer whose estimation accuracy is improved using the speed estimate. The results are validated with simulations. The method presented is simple and easy to implement. The estimators presented are reliable, accurate, depend on a minimal set of parameters and yield zero steady-state error.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589404
Amir Farakhor, H. Fang
In this paper, the dynamic modeling of a coupled-inductor-based DC-DC converter is investigated. Due to the time varying characteristics of converter parameters such as the output load and input voltage, the operating point of the converter changes within time. Therefore, traditional small signal modeling approaches are not accurate since the converter is linearized around a specific operating point. This paper seeks to address this problem by employing an online parameter identification technique to dynamically estimate the parameters. The identification is achieved through Kalman filtering. First, the small signal modeling of the converter is derived including the leakage inductance effect. Then, the Kalman filter is improved and applied to identify the control-to-output transfer function parameters. Extensive simulation results are provided to validate the robust and proper operation of presented modeling procedure.
{"title":"Dynamic Modeling and Online Parameter Identification of a Coupled-Inductor-Based DC-DC Converter with Leakage Inductance Effect Consideration","authors":"Amir Farakhor, H. Fang","doi":"10.1109/IECON48115.2021.9589404","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589404","url":null,"abstract":"In this paper, the dynamic modeling of a coupled-inductor-based DC-DC converter is investigated. Due to the time varying characteristics of converter parameters such as the output load and input voltage, the operating point of the converter changes within time. Therefore, traditional small signal modeling approaches are not accurate since the converter is linearized around a specific operating point. This paper seeks to address this problem by employing an online parameter identification technique to dynamically estimate the parameters. The identification is achieved through Kalman filtering. First, the small signal modeling of the converter is derived including the leakage inductance effect. Then, the Kalman filter is improved and applied to identify the control-to-output transfer function parameters. Extensive simulation results are provided to validate the robust and proper operation of presented modeling procedure.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589942
Francesco Simonetti, G. D. D. Girolamo, A. D’innocenzo, Carlo Cecati
Finite Control Set Model Predictive Control is an effective technique which attracted attention in the latest years thanks to its fast dynamic response and the fact that it does not require a modulation. However, when applied to multilevel converters, it requires a large amount of calculations that may affect implementability. On the other hand, Neural Networks are well known Machine Learning techniques that can be efficiently implemented in real-time applications thanks to their massive parallelism capability. This work proposes a novel Finite Control Set Model Predictive Control approach based on Neural Networks with reduced computational time complexity for a Cascaded H-Bridge Static Synchronous Compensator. Simulation results for a nine-level system are presented and a simulative comparison between our approach and classical methods for FCS is provided, showing that very similar performance can be achieved with strong reduction of the computational complexity.
{"title":"A Neural Network Approach for Efficient Finite Control Set MPC of Cascaded H-Bridge STATCOM","authors":"Francesco Simonetti, G. D. D. Girolamo, A. D’innocenzo, Carlo Cecati","doi":"10.1109/IECON48115.2021.9589942","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589942","url":null,"abstract":"Finite Control Set Model Predictive Control is an effective technique which attracted attention in the latest years thanks to its fast dynamic response and the fact that it does not require a modulation. However, when applied to multilevel converters, it requires a large amount of calculations that may affect implementability. On the other hand, Neural Networks are well known Machine Learning techniques that can be efficiently implemented in real-time applications thanks to their massive parallelism capability. This work proposes a novel Finite Control Set Model Predictive Control approach based on Neural Networks with reduced computational time complexity for a Cascaded H-Bridge Static Synchronous Compensator. Simulation results for a nine-level system are presented and a simulative comparison between our approach and classical methods for FCS is provided, showing that very similar performance can be achieved with strong reduction of the computational complexity.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129802781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589750
Yair Casas Flores, C. Treesatayapun
A kinematic redundancy robot is considered as a class of unknown nonlinear discrete-time systems. The compact form dynamic linearization is firstly utilized to establish the equivalent model of the robotic system. Thereafter, the adaptive controller is derived by fuzzy rules emulated network while the learning law is designed to minimize both the tracking error and the control effort energy with the stability analysis. The experimental system is constructed to validate the performance of closed-loop systems.
{"title":"Optimal robotic controller based on signals and data information with kinematic redundancy","authors":"Yair Casas Flores, C. Treesatayapun","doi":"10.1109/IECON48115.2021.9589750","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589750","url":null,"abstract":"A kinematic redundancy robot is considered as a class of unknown nonlinear discrete-time systems. The compact form dynamic linearization is firstly utilized to establish the equivalent model of the robotic system. Thereafter, the adaptive controller is derived by fuzzy rules emulated network while the learning law is designed to minimize both the tracking error and the control effort energy with the stability analysis. The experimental system is constructed to validate the performance of closed-loop systems.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128408106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589755
Shuci Yu, Fuxin Liu, Minghua Zhou, Xuling Chen
Multi-module series-parallel (MMSP) power systems have the superiority of easy scalability and high reliability, and is the prospective candidate for high-power conversion. In this paper, the MMSP configuration is implemented in wireless power transfer (WPT) applications. However, the voltage and current sharing issues have not been analyzed precisely in existing researches. To obtain the inherent principle of voltage and current sharing in the MMSP WPT system, the dual-module series-parallel WPT systems with four configurations are studied as examples. By the fundamental harmonic analysis, the characteristics of a WPT module are obtained, and then the imbalance mechanism of voltage and current under four kinds of parameters mismatches are revealed. The results of circuit simulation verify the correctness of the theoretical analysis.
{"title":"Comprehensive Analysis on the Imbalance of Voltage and Current in Multi-module Series-parallel WPT Systems","authors":"Shuci Yu, Fuxin Liu, Minghua Zhou, Xuling Chen","doi":"10.1109/IECON48115.2021.9589755","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589755","url":null,"abstract":"Multi-module series-parallel (MMSP) power systems have the superiority of easy scalability and high reliability, and is the prospective candidate for high-power conversion. In this paper, the MMSP configuration is implemented in wireless power transfer (WPT) applications. However, the voltage and current sharing issues have not been analyzed precisely in existing researches. To obtain the inherent principle of voltage and current sharing in the MMSP WPT system, the dual-module series-parallel WPT systems with four configurations are studied as examples. By the fundamental harmonic analysis, the characteristics of a WPT module are obtained, and then the imbalance mechanism of voltage and current under four kinds of parameters mismatches are revealed. The results of circuit simulation verify the correctness of the theoretical analysis.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128779325","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589998
Hyeong-Jun Kim, Kyoung-Chang Lee, Suk Lee
Time-sensitive networking (TSN), which is well known as one of deterministic Ethernet, can ensure a real-time property of time-critical traffic by providing various standards. In particular, IEEE 802.1Qbv, which is one of the standards about TSN, can minimize a problem that occurred due to delay by ensuring the real-time transmission of a message that has high priority through scheduling. However, because scheduling messages in TSN is an NP-hard problem as same as the job schedule in a manufacturing process, an optimal schedule is needed to solve the problem. This study proposed a method to optimize a time-critical traffic schedule in TSN using a genetic algorithm. A chromosome in the genetic algorithm consists of messages to be scheduled, and schedules are created by the order of messages arranged in a chromosome. The performance of the chromosome is evaluated through the fitness function, which uses three performance indicators (end-to-end delay, jitter, and bandwidth utilization for guard band) as parameters. Finally, the proposed schedule optimization algorithm was performed over a simulation environment that simulated a real autonomous driving vehicle network to verify the applicability.
{"title":"A Genetic Algorithm based Scheduling Method for Automotive Ethernet","authors":"Hyeong-Jun Kim, Kyoung-Chang Lee, Suk Lee","doi":"10.1109/IECON48115.2021.9589998","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589998","url":null,"abstract":"Time-sensitive networking (TSN), which is well known as one of deterministic Ethernet, can ensure a real-time property of time-critical traffic by providing various standards. In particular, IEEE 802.1Qbv, which is one of the standards about TSN, can minimize a problem that occurred due to delay by ensuring the real-time transmission of a message that has high priority through scheduling. However, because scheduling messages in TSN is an NP-hard problem as same as the job schedule in a manufacturing process, an optimal schedule is needed to solve the problem. This study proposed a method to optimize a time-critical traffic schedule in TSN using a genetic algorithm. A chromosome in the genetic algorithm consists of messages to be scheduled, and schedules are created by the order of messages arranged in a chromosome. The performance of the chromosome is evaluated through the fitness function, which uses three performance indicators (end-to-end delay, jitter, and bandwidth utilization for guard band) as parameters. Finally, the proposed schedule optimization algorithm was performed over a simulation environment that simulated a real autonomous driving vehicle network to verify the applicability.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128247304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589178
Mohammed Azharuddin Shamshuddin, David Arancibia, F. Rojas, J. Pereda, R. Kennel
The Modular Multilevel Matrix Converter (M3C), also known as Triple Star Bridge Cells (TSBC) converter from the family of Modular Multilevel Cascade Converter (MMCC) has attracted attention in medium/high voltage, high power applications. Recent research has identified its potential for various direct high power AC/AC conversion applications due to its modularity, redundancy and high power quality. However, it suffers from cross-coupling while utilising low/fundamental frequency switching techniques such as Nearest Level Control (NLC) along with the double αβo transformation. This article proposes a decoupling approach to eliminate the coupling effect and low frequency oscillation at the output port for implementation of NLC in an MMCC-TSBC converter.
{"title":"A decoupled Nearest Level Control for a Modular Multilevel Cascade Converter based on Triple Star Bridge Cells (MMCC-TSBC)","authors":"Mohammed Azharuddin Shamshuddin, David Arancibia, F. Rojas, J. Pereda, R. Kennel","doi":"10.1109/IECON48115.2021.9589178","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589178","url":null,"abstract":"The Modular Multilevel Matrix Converter (M3C), also known as Triple Star Bridge Cells (TSBC) converter from the family of Modular Multilevel Cascade Converter (MMCC) has attracted attention in medium/high voltage, high power applications. Recent research has identified its potential for various direct high power AC/AC conversion applications due to its modularity, redundancy and high power quality. However, it suffers from cross-coupling while utilising low/fundamental frequency switching techniques such as Nearest Level Control (NLC) along with the double αβo transformation. This article proposes a decoupling approach to eliminate the coupling effect and low frequency oscillation at the output port for implementation of NLC in an MMCC-TSBC converter.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128560633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589169
Y. Akcay, O. Tweedy, P. Giangrande, M. Galea
Coaxial magnetic couplings are an attractive alternative to traditional mechanical machine couplings which bring several desirable advantages but are limited by their relatively low torque density and torque to mass ratio. The optimum magnetic design of a coaxial magnetic coupling possesses a significant volume of inactive material due to the radius of the permanent magnet arrays. In this paper, the torque density of a coaxial magnetic coupling is increased by up to 82% by utilizing a second set of permanent magnet rings to form a double coaxial magnetic coupling. The proposed design enhancement achieves the aim of reducing the total volume of the coupling, whilst maintaining the same mass and peak torque transmission capacity.
{"title":"Design and Analysis of a Double Coaxial Magnetic Coupling to Improve Torque Density","authors":"Y. Akcay, O. Tweedy, P. Giangrande, M. Galea","doi":"10.1109/IECON48115.2021.9589169","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589169","url":null,"abstract":"Coaxial magnetic couplings are an attractive alternative to traditional mechanical machine couplings which bring several desirable advantages but are limited by their relatively low torque density and torque to mass ratio. The optimum magnetic design of a coaxial magnetic coupling possesses a significant volume of inactive material due to the radius of the permanent magnet arrays. In this paper, the torque density of a coaxial magnetic coupling is increased by up to 82% by utilizing a second set of permanent magnet rings to form a double coaxial magnetic coupling. The proposed design enhancement achieves the aim of reducing the total volume of the coupling, whilst maintaining the same mass and peak torque transmission capacity.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128563427","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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