Pub Date : 2021-10-13DOI: 10.1109/IECON48115.2021.9589186
Matthias Lermer, C. Reich, D. Abdeslam
Currently, the need for more efficient use of energy is in the spotlight more than ever. For optimal energy management the forecast of energy consumption is of great interest.This paper takes a novel approach for forecasting the energy demand in households by using a hybrid AI approach. On the one hand, we use an interpretable model creation by using fuzzy rules. Those rules are then combined with an evolutionary strategy to create new simulation data which calibrates the reality and sometimes uncertainty behind the data. Based on this newly created data, a simple artificial neural network (ANN) model is created. It is shown, that there is no need to create an unnecessarily complex deep learning architecture for achieving good results. Simple ANN models can achieve excellent results, when using data created by inferred fuzzy rules. Of great advantage is, that one part of this hybrid AI approach can still be interpreted by humans and furthermore improved by adding the knowledge of human domain experts in form of fuzzy rules.
{"title":"Hybrid AI improves Energy Forecasts by combining Fuzzy Rules, Evolutionary Strategies and Neural Networks","authors":"Matthias Lermer, C. Reich, D. Abdeslam","doi":"10.1109/IECON48115.2021.9589186","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589186","url":null,"abstract":"Currently, the need for more efficient use of energy is in the spotlight more than ever. For optimal energy management the forecast of energy consumption is of great interest.This paper takes a novel approach for forecasting the energy demand in households by using a hybrid AI approach. On the one hand, we use an interpretable model creation by using fuzzy rules. Those rules are then combined with an evolutionary strategy to create new simulation data which calibrates the reality and sometimes uncertainty behind the data. Based on this newly created data, a simple artificial neural network (ANN) model is created. It is shown, that there is no need to create an unnecessarily complex deep learning architecture for achieving good results. Simple ANN models can achieve excellent results, when using data created by inferred fuzzy rules. Of great advantage is, that one part of this hybrid AI approach can still be interpreted by humans and furthermore improved by adding the knowledge of human domain experts in form of fuzzy rules.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"118 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":"128132735","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}
In order to avoid the failure of electrolytic capacitor due to the influence of ambient temperature, film capacitors are applied in the DC-link of permanent magnet synchronous motor (PMSM) drive systems. In this paper, an online estimation method of DC-link capacitance is proposed for the electrolytic capacitorless motor drive system. The power signals of the drive system are analyzed, and the characteristic frequency of the DC-link capacitance power is determined. The instantaneous capacitor power is obtained by the sampled grid input power and the reconstructed inverter power, which is determined by the DC-link voltage and inverter input current. The components of capacitor power and the result of multiplication of DC-link voltage and its derivative at the expected frequency are obtained to calculate the DC-link capacitance by a band-pass filter. The estimation process can be carried out when the system operates normally, and no additional sensors are required. The experimental results verify the effectiveness of the proposed method.
{"title":"Online Estimation of DC-Link Capacitance for Permanent Magnet Synchronous Motor Drive with Reduced DC-Link Capacitor","authors":"B. Zhou, Gaolin Wang, Runfeng Gao, Guoqiang Zhang, Nannan Zhao, Dianguo Xu","doi":"10.1109/IECON48115.2021.9589375","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589375","url":null,"abstract":"In order to avoid the failure of electrolytic capacitor due to the influence of ambient temperature, film capacitors are applied in the DC-link of permanent magnet synchronous motor (PMSM) drive systems. In this paper, an online estimation method of DC-link capacitance is proposed for the electrolytic capacitorless motor drive system. The power signals of the drive system are analyzed, and the characteristic frequency of the DC-link capacitance power is determined. The instantaneous capacitor power is obtained by the sampled grid input power and the reconstructed inverter power, which is determined by the DC-link voltage and inverter input current. The components of capacitor power and the result of multiplication of DC-link voltage and its derivative at the expected frequency are obtained to calculate the DC-link capacitance by a band-pass filter. The estimation process can be carried out when the system operates normally, and no additional sensors are required. The experimental results verify the effectiveness of the proposed method.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"30 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":"115814745","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/IECON48115.2021.9589429
Sumedh Dhale, B. Nahid-Mobarakeh, A. Emadi
This paper presents a novel self-commissioning procedure for the identification of inverter nonlinearity constant comprised of the average voltage drops on switches and diodes in conduction state and switching delays. Simultaneous estimation of phase resistance, d-axis synchronous inductance, and inverter nonlinearity constant is achieved at standstill condition by injecting sinusoidal d-axis current. The advantages of the proposed self-commissioning method are twofold: 1) The co-estimation capability provides insensitivity towards errors in resistance and d-axis inductance. 2) While sinusoidal d-axis current is injected, the q-axis current is actively maintained at 0A. Thus, no torque is generated during the self-commissioning period. The effect of discontinuous distortions due to non-ideal switching as well as current sensor noise is rejected by limiting the estimation period within a feasible estimation window. Thereby, a necessary minimum phase current magnitude is established for achieving accurate estimation. This paper also provides parameter convergence analysis and the existence of unique solutions during proposed self-commissioning process, further justifying the choice of proposed feasible estimation region.
{"title":"A Robust Self-Commissioning Technique for Identification of the VSI Nonlinearity Effect in IPMSM Drives","authors":"Sumedh Dhale, B. Nahid-Mobarakeh, A. Emadi","doi":"10.1109/IECON48115.2021.9589429","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589429","url":null,"abstract":"This paper presents a novel self-commissioning procedure for the identification of inverter nonlinearity constant comprised of the average voltage drops on switches and diodes in conduction state and switching delays. Simultaneous estimation of phase resistance, d-axis synchronous inductance, and inverter nonlinearity constant is achieved at standstill condition by injecting sinusoidal d-axis current. The advantages of the proposed self-commissioning method are twofold: 1) The co-estimation capability provides insensitivity towards errors in resistance and d-axis inductance. 2) While sinusoidal d-axis current is injected, the q-axis current is actively maintained at 0A. Thus, no torque is generated during the self-commissioning period. The effect of discontinuous distortions due to non-ideal switching as well as current sensor noise is rejected by limiting the estimation period within a feasible estimation window. Thereby, a necessary minimum phase current magnitude is established for achieving accurate estimation. This paper also provides parameter convergence analysis and the existence of unique solutions during proposed self-commissioning process, further justifying the choice of proposed feasible estimation region.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"16 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":"115860994","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}
With a large number of renewable energy connected, the penetration rate of grid connected inverter increases rapidly, and the interaction between converter and power grid and between converter and converter becomes more and more intense. The assumption that power grid is regarded as infinite power supply is no longer tenable. And a large number of new energy resource will change the transient instability mode of the power system and increase the risk of security and stability. In the process of simulation, how to establish a reduced order aggregate equivalent model of converter suitable for transient stability simulation becomes an urgent problem to be solved in the research of new energy resource connected. In this paper, based on singular perturbation theory, the reduced order modeling of DFIG (Doubly fed induction generator) converter is carried out. Firstly, according to the typical triggering criteria of DFIG relay protection action in transient stability problem, the modeling principles of relay protection and low voltage ride through behavior are analyzed, so as to accurately simulate the transient instability behavior of generator tripping. Secondly, a combined system of synchronous generator and DFIG wind turbine model is built. Different instability modes are classified by the time period and time scale of instability, and the influence of DFIG power supply on grid voltage instability is analyzed.
{"title":"Reduced Order Modeling of DFIG based on Singular Perturbation Theory","authors":"Qunying Liu, Yijia Heng, Runsheng Zheng, Shuheng Chen","doi":"10.1109/IECON48115.2021.9589785","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589785","url":null,"abstract":"With a large number of renewable energy connected, the penetration rate of grid connected inverter increases rapidly, and the interaction between converter and power grid and between converter and converter becomes more and more intense. The assumption that power grid is regarded as infinite power supply is no longer tenable. And a large number of new energy resource will change the transient instability mode of the power system and increase the risk of security and stability. In the process of simulation, how to establish a reduced order aggregate equivalent model of converter suitable for transient stability simulation becomes an urgent problem to be solved in the research of new energy resource connected. In this paper, based on singular perturbation theory, the reduced order modeling of DFIG (Doubly fed induction generator) converter is carried out. Firstly, according to the typical triggering criteria of DFIG relay protection action in transient stability problem, the modeling principles of relay protection and low voltage ride through behavior are analyzed, so as to accurately simulate the transient instability behavior of generator tripping. Secondly, a combined system of synchronous generator and DFIG wind turbine model is built. Different instability modes are classified by the time period and time scale of instability, and the influence of DFIG power supply on grid voltage instability is analyzed.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"11 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":"115907101","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/IECON48115.2021.9589835
Yuki Ayuta, Kouhei Okuda, Eisuke Kawamoto, S. Muramatsu, K. Inagaki, D. Chugo, Syo Yokota, H. Hashimoto
In this paper, we describe the integrated system for ensuring the safety of forestry workers. It is difficult to accurately acquire GPS information in forests. Therefore, it is necessary to consider a position estimation method that does not use GPS. First, the accuracy of VisualSLAM, IMU, and Beacon alone was verified and evaluated by experiments. We also examined the communication method and self-position estimation system for the integrated system. The results show that the self-positioning of Visual SLAM and IMU requires a large interval for correction, which results in a large error. Therefore, we found that the larger the measurement interval, the larger the error of any sensor system. The future tasks are to improve the accuracy of sensor systems, to optimize the measurement interval, and to integrate the systems.
{"title":"Study on forestry control system to improve forestry workers safety","authors":"Yuki Ayuta, Kouhei Okuda, Eisuke Kawamoto, S. Muramatsu, K. Inagaki, D. Chugo, Syo Yokota, H. Hashimoto","doi":"10.1109/IECON48115.2021.9589835","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589835","url":null,"abstract":"In this paper, we describe the integrated system for ensuring the safety of forestry workers. It is difficult to accurately acquire GPS information in forests. Therefore, it is necessary to consider a position estimation method that does not use GPS. First, the accuracy of VisualSLAM, IMU, and Beacon alone was verified and evaluated by experiments. We also examined the communication method and self-position estimation system for the integrated system. The results show that the self-positioning of Visual SLAM and IMU requires a large interval for correction, which results in a large error. Therefore, we found that the larger the measurement interval, the larger the error of any sensor system. The future tasks are to improve the accuracy of sensor systems, to optimize the measurement interval, and to integrate the systems.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"26 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":"132211691","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/IECON48115.2021.9589335
Ana M. C. Rodrigues, Catia F. Oliveira, T. Sousa, D. Pedrosa, V. Monteiro, J. Afonso
This paper presents an enhanced three-phase shunt active power filter (SAPF) that, besides its inherent functionalities of power quality problems compensation, also allows the interface of a renewable energy source (RES, namely solar photovoltaic – PV panels) and an energy storage system (ESS, namely batteries) through its dc-link. On the power grid-side, a three-phase four-wire voltage-source ac-dc converter is connected with the power grid, operating as an SAPF, whereas the RES-interface and the ESS-interface are made through a three-port multilevel dc-dc converter connected to the dc-link of the SAPF. Besides, to compensate power quality problems related to currents, the SAPF also permits the controllability of the bidirectional power exchanged between the power grid and the dc interfaces, i.e., the RES and the ESS. The operation principle of the whole system, as well as the detailed control algorithms, are described in the paper. A validation was performed through computer simulations, where it is possible to analyze the different operation modes of the enhanced SAPF interfacing a RES and an ESS through the dc-link.
{"title":"Enhanced Three-Phase Shunt Active Power Filter Interfacing a Renewable and an Energy Storage System","authors":"Ana M. C. Rodrigues, Catia F. Oliveira, T. Sousa, D. Pedrosa, V. Monteiro, J. Afonso","doi":"10.1109/IECON48115.2021.9589335","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589335","url":null,"abstract":"This paper presents an enhanced three-phase shunt active power filter (SAPF) that, besides its inherent functionalities of power quality problems compensation, also allows the interface of a renewable energy source (RES, namely solar photovoltaic – PV panels) and an energy storage system (ESS, namely batteries) through its dc-link. On the power grid-side, a three-phase four-wire voltage-source ac-dc converter is connected with the power grid, operating as an SAPF, whereas the RES-interface and the ESS-interface are made through a three-port multilevel dc-dc converter connected to the dc-link of the SAPF. Besides, to compensate power quality problems related to currents, the SAPF also permits the controllability of the bidirectional power exchanged between the power grid and the dc interfaces, i.e., the RES and the ESS. The operation principle of the whole system, as well as the detailed control algorithms, are described in the paper. A validation was performed through computer simulations, where it is possible to analyze the different operation modes of the enhanced SAPF interfacing a RES and an ESS through the dc-link.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"22 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":"132240866","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/IECON48115.2021.9589967
Emir Arditi, Tjaša Kunavar, Emre Ugur, J. Babič, E. Oztop
This study focuses on inferring cost functions of obtained movement data using reward parameter search and pol-icy gradient based Reinforcement Learning (RL). The behavior data for this task is obtained through a series of squat-to-stand movements of human participants under dynamic perturbations. The key parameter searched in the cost function is the weight of total torque used in performing the squat-to-stand action. An approximate model is used to learn squat-to-stand movements via a policy gradient method, namely Proximal Policy Optimization(PPO). A behavioral similarity metric based on Center of Mass(COM) is used to find the most likely weight parameter. The stochasticity in the training result of PPO is dealt with multiple runs, and as a result, a reasonable and a stable Inverse Reinforcement Learning(IRL) algorithm is obtained in terms of performance. The results indicate that for some participants, the reward function parameters of the experts were inferred successfully.
{"title":"Inferring Cost Functions Using Reward Parameter Search and Policy Gradient Reinforcement Learning","authors":"Emir Arditi, Tjaša Kunavar, Emre Ugur, J. Babič, E. Oztop","doi":"10.1109/IECON48115.2021.9589967","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589967","url":null,"abstract":"This study focuses on inferring cost functions of obtained movement data using reward parameter search and pol-icy gradient based Reinforcement Learning (RL). The behavior data for this task is obtained through a series of squat-to-stand movements of human participants under dynamic perturbations. The key parameter searched in the cost function is the weight of total torque used in performing the squat-to-stand action. An approximate model is used to learn squat-to-stand movements via a policy gradient method, namely Proximal Policy Optimization(PPO). A behavioral similarity metric based on Center of Mass(COM) is used to find the most likely weight parameter. The stochasticity in the training result of PPO is dealt with multiple runs, and as a result, a reasonable and a stable Inverse Reinforcement Learning(IRL) algorithm is obtained in terms of performance. The results indicate that for some participants, the reward function parameters of the experts were inferred successfully.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"2 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":"130015276","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/IECON48115.2021.9589037
Antoine Musengimana, Xuemei Zheng, Haoyu Li
This paper presents a feed-forward decoupling control method to enhance the stability of a photovoltaic (PV) inverter connected to a weak grid. As the grid weakens, the point of common coupling (PCC) voltage becomes sensitive to the active power. This increases the coupling effects between control loops, Phase-Locked Loop (PLL) and grid dynamics, which deteriorate system stability. Therefore, in this paper, a decoupling control method is proposed in which the reference active current obtained by regulating the DC-link voltage to its reference value is feed-forwarded to modulate the reactive current reference generated by regulating the PCC voltage to its predefined value. As result, the robust performance of the PV inverter connected to a weak grid has been yielded, where the inverter stability is maintained for both wider PLL bandwidth and high grid impedance. Based on open-loop bode plot and closed-loop eigenvalues of the DC-link voltage control (DVC) loop, a stability analysis of the proposed control method and the conventional vector control method has been performed. Then, the proposed method is verified through simulation results obtained by PLECS.
{"title":"Feed-forward decoupling control to enhance robust stability of PV inverter connected to a weak grid","authors":"Antoine Musengimana, Xuemei Zheng, Haoyu Li","doi":"10.1109/IECON48115.2021.9589037","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589037","url":null,"abstract":"This paper presents a feed-forward decoupling control method to enhance the stability of a photovoltaic (PV) inverter connected to a weak grid. As the grid weakens, the point of common coupling (PCC) voltage becomes sensitive to the active power. This increases the coupling effects between control loops, Phase-Locked Loop (PLL) and grid dynamics, which deteriorate system stability. Therefore, in this paper, a decoupling control method is proposed in which the reference active current obtained by regulating the DC-link voltage to its reference value is feed-forwarded to modulate the reactive current reference generated by regulating the PCC voltage to its predefined value. As result, the robust performance of the PV inverter connected to a weak grid has been yielded, where the inverter stability is maintained for both wider PLL bandwidth and high grid impedance. Based on open-loop bode plot and closed-loop eigenvalues of the DC-link voltage control (DVC) loop, a stability analysis of the proposed control method and the conventional vector control method has been performed. Then, the proposed method is verified through simulation results obtained by PLECS.","PeriodicalId":443337,"journal":{"name":"IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society","volume":"30 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":"130112236","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/IECON48115.2021.9589225
Marius Stender, O. Wallscheid, J. Böcker
Precise modeling and identification of induction motors is becoming increasingly important due to the extensive use of these motors in torque-controlled applications, e.g., electric vehicles. To achieve high precision, several nonideal motor characteristics including thermal effects have to be modeled and identified. Most thermal models in the literature utilize a loss model which is separated from the motor model considered in the control task leading to inconsistencies between these models. In this contribution, a combined electrical-thermal model is developed and its identification is addressed. Hence, the achieved universal drive model delivers flux, torque, loss and temperature estimations. Thus, the model provides information for three main drive tasks: general control, operating strategy and condition monitoring. With a comprehensive data set recorded at the test bench, the model parameters are optimally identified. On a separate test set, the proposed model is validated to estimate the torque generated by the motor with a root-mean-square error of 0.4 % related to nominal torque as well as the temperatures in the stator and rotor with root-mean-square errors of 1.0 K and 1.1 K, respectively.
{"title":"Combined Electrical-Thermal Gray-Box Model and Parameter Identification of an Induction Motor","authors":"Marius Stender, O. Wallscheid, J. Böcker","doi":"10.1109/IECON48115.2021.9589225","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589225","url":null,"abstract":"Precise modeling and identification of induction motors is becoming increasingly important due to the extensive use of these motors in torque-controlled applications, e.g., electric vehicles. To achieve high precision, several nonideal motor characteristics including thermal effects have to be modeled and identified. Most thermal models in the literature utilize a loss model which is separated from the motor model considered in the control task leading to inconsistencies between these models. In this contribution, a combined electrical-thermal model is developed and its identification is addressed. Hence, the achieved universal drive model delivers flux, torque, loss and temperature estimations. Thus, the model provides information for three main drive tasks: general control, operating strategy and condition monitoring. With a comprehensive data set recorded at the test bench, the model parameters are optimally identified. On a separate test set, the proposed model is validated to estimate the torque generated by the motor with a root-mean-square error of 0.4 % related to nominal torque as well as the temperatures in the stator and rotor with root-mean-square errors of 1.0 K and 1.1 K, respectively.","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":"130151958","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/IECON48115.2021.9589637
P. Costa, S. Pinto, J. F. Silva
A leakage tolerant commutation method is proposed that enables the use of matrix converters in Solid State Transformers with three-phase high/medium frequency isolation transformers. Typical commutation methods for matrix converters such as two and four step commutation methods are not suitable in the presence of leakage inductances since they do not allow the recirculation of the leakage energy, this means that when using such methods it is necessary to use snubbers and clamping circuits to mitigate potential overvoltages on the transformer. The proposed commutation method does not require any additional circuitry and is suitable for multiphase converters. A systematic description of the process is provided along with simulation results that validate the proposed commutation method.
{"title":"Breadth-First Search Leakage Tolerant Commutation Method for Matrix Converters in Three-Phase Solid State Transformers","authors":"P. Costa, S. Pinto, J. F. Silva","doi":"10.1109/IECON48115.2021.9589637","DOIUrl":"https://doi.org/10.1109/IECON48115.2021.9589637","url":null,"abstract":"A leakage tolerant commutation method is proposed that enables the use of matrix converters in Solid State Transformers with three-phase high/medium frequency isolation transformers. Typical commutation methods for matrix converters such as two and four step commutation methods are not suitable in the presence of leakage inductances since they do not allow the recirculation of the leakage energy, this means that when using such methods it is necessary to use snubbers and clamping circuits to mitigate potential overvoltages on the transformer. The proposed commutation method does not require any additional circuitry and is suitable for multiphase converters. A systematic description of the process is provided along with simulation results that validate the proposed commutation method.","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":"130216796","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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