Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465379
Chenxing Zhan;Xin Liu
This paper proposes a novel HTS movable tooth motor (HTS-MTM) for electric vehicles (EVs), which integrates the HTS motor with movable tooth drive by eccentric shaft. The motor has the advantages of compact structure, high power density and high efficiency. The relative velocity between movable tooth and moving disk can be reduced by bearing on eccentric shaft. The structure and working principle of HTS-MTM are introduced. Based on the position relationship of movable tooth drive, the track equation of fixing disk and its deceleration ratio are derived, and the output speed of HTS-MTM is obtained. With the conversion mechanism method, the relative velocity between movable tooth and moving disk track is calculated, and the influences of structural parameters on relative velocity are also analyzed. The result shows that the relative velocity in HTS-MTM can be reduced significantly, which is beneficial for power efficiency.
{"title":"Study on Relative Velocity of Moving Disk for Novel HTS Movable Tooth Motor","authors":"Chenxing Zhan;Xin Liu","doi":"10.1109/TASC.2024.3465379","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465379","url":null,"abstract":"This paper proposes a novel HTS movable tooth motor (HTS-MTM) for electric vehicles (EVs), which integrates the HTS motor with movable tooth drive by eccentric shaft. The motor has the advantages of compact structure, high power density and high efficiency. The relative velocity between movable tooth and moving disk can be reduced by bearing on eccentric shaft. The structure and working principle of HTS-MTM are introduced. Based on the position relationship of movable tooth drive, the track equation of fixing disk and its deceleration ratio are derived, and the output speed of HTS-MTM is obtained. With the conversion mechanism method, the relative velocity between movable tooth and moving disk track is calculated, and the influences of structural parameters on relative velocity are also analyzed. The result shows that the relative velocity in HTS-MTM can be reduced significantly, which is beneficial for power efficiency.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465371
Depeng Zeng;Yueru Ren;Pengyu Gao;Kai Guo;Zunheng Wang
To suppress the harmonic components of the phase current of dual three-phase permanent magnet synchronous machines (DTP-PMSMs), an improved control strategy based on the multi-input multi-output (MIMO) proportional resonant (PR) controller is proposed in this paper. The control strategy includes the optimization of the controller and the integration of the voltage feedforward compensation method. By analyzing the traditional vector control strategy based on the vector space decoupling (VSD) coordinate transformation, an equivalent MIMO PR controller with parameter tuning is proposed, which can achieve no static error tracking for the alternating current (AC) signals. The controller considers the decoupling compensation in the traditional vector control strategy, which reduces the complexity of the system. The voltage feedforward compensation path includes the extraction of harmonic currents and the derivation of compensation voltage. By using feedforward compensation for specific harmonic components, more effective suppression of harmonic components can be achieved. Finally, the proposed control strategy was experimentally validated on the experimental platform. Compared with the traditional vector control strategy based on the VSD coordinate transformation, under the proposed control strategy, the total harmonic distortion (THD) content of the machine phase current was reduced by 6.12%, verifying the effectiveness and feasibility of the proposed strategy.
{"title":"Harmonic Suppression Strategy for Dual Three-Phase Permanent Magnet Synchronous Machines Based on a Multi-Input Multi-Output Controller","authors":"Depeng Zeng;Yueru Ren;Pengyu Gao;Kai Guo;Zunheng Wang","doi":"10.1109/TASC.2024.3465371","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465371","url":null,"abstract":"To suppress the harmonic components of the phase current of dual three-phase permanent magnet synchronous machines (DTP-PMSMs), an improved control strategy based on the multi-input multi-output (MIMO) proportional resonant (PR) controller is proposed in this paper. The control strategy includes the optimization of the controller and the integration of the voltage feedforward compensation method. By analyzing the traditional vector control strategy based on the vector space decoupling (VSD) coordinate transformation, an equivalent MIMO PR controller with parameter tuning is proposed, which can achieve no static error tracking for the alternating current (AC) signals. The controller considers the decoupling compensation in the traditional vector control strategy, which reduces the complexity of the system. The voltage feedforward compensation path includes the extraction of harmonic currents and the derivation of compensation voltage. By using feedforward compensation for specific harmonic components, more effective suppression of harmonic components can be achieved. Finally, the proposed control strategy was experimentally validated on the experimental platform. Compared with the traditional vector control strategy based on the VSD coordinate transformation, under the proposed control strategy, the total harmonic distortion (THD) content of the machine phase current was reduced by 6.12%, verifying the effectiveness and feasibility of the proposed strategy.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465377
Pengzhao Wang;Ruochen Tang;Hai Li;Xiangjun Zeng
High-voltage fault-tolerant wind generators with high-temperature superconducting (HTS) bulks are being considered for offshore wind farms since they can simplify connections of wind farms and reduce maintenance costs. Due to the low operating temperature of the cross-linked polyethylene (XLPE) insulation used, the key to developing such generators is to accurately predict their thermal performance at the design stage. In this paper, a thermal model based on the lumped parameter thermal network (LPTN) method is established to achieve this goal. The characteristic of this thermal model is that copper loss and iron loss and their temperature dependence are considered simultaneously. These losses are precisely obtained by coupling the electromagnetic field. In particular, the temperature dependence of thermal conductivity is also taken into account. The effectiveness of the thermal model is verified by finite element analysis (FEA). Moreover, a comparison is made with the LPTN model which does not use temperature-dependent thermal conductivity. The established thermal model can be used for the optimization design of generators with similar structures.
{"title":"Thermal Modeling of a High-Voltage Fault-Tolerant Wind Generator With HTS Bulks","authors":"Pengzhao Wang;Ruochen Tang;Hai Li;Xiangjun Zeng","doi":"10.1109/TASC.2024.3465377","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465377","url":null,"abstract":"High-voltage fault-tolerant wind generators with high-temperature superconducting (HTS) bulks are being considered for offshore wind farms since they can simplify connections of wind farms and reduce maintenance costs. Due to the low operating temperature of the cross-linked polyethylene (XLPE) insulation used, the key to developing such generators is to accurately predict their thermal performance at the design stage. In this paper, a thermal model based on the lumped parameter thermal network (LPTN) method is established to achieve this goal. The characteristic of this thermal model is that copper loss and iron loss and their temperature dependence are considered simultaneously. These losses are precisely obtained by coupling the electromagnetic field. In particular, the temperature dependence of thermal conductivity is also taken into account. The effectiveness of the thermal model is verified by finite element analysis (FEA). Moreover, a comparison is made with the LPTN model which does not use temperature-dependent thermal conductivity. The established thermal model can be used for the optimization design of generators with similar structures.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142377119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465450
Yushen Tian;Shaohua Ma;Chengsong Wang;Lin Fan
As a novel detecting technique, the research on superconducting magnetic particle imaging (MPI) is still a virgin land to break. Here, comparative research between copper and MgB 2 -based MPI is conducted to explore the performance of superconducting MPI in generating and controlling the gradient magnetic field. According to the theoretical calculation and simulation analysis at the mouse-scale, the superconducting MPI can serve as a potential replacement for the conventions with significantly reduced volume and weight, which provides an improved magnetic gradient with finer scanning region and effectively controls the unintended noises with the same frequency as the target signals.
{"title":"Theoretical Research on Constructing Gradient Field in Magnetic Particle Imaging System With Superconductor","authors":"Yushen Tian;Shaohua Ma;Chengsong Wang;Lin Fan","doi":"10.1109/TASC.2024.3465450","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465450","url":null,"abstract":"As a novel detecting technique, the research on superconducting magnetic particle imaging (MPI) is still a virgin land to break. Here, comparative research between copper and MgB\u0000<sub>2</sub>\u0000-based MPI is conducted to explore the performance of superconducting MPI in generating and controlling the gradient magnetic field. According to the theoretical calculation and simulation analysis at the mouse-scale, the superconducting MPI can serve as a potential replacement for the conventions with significantly reduced volume and weight, which provides an improved magnetic gradient with finer scanning region and effectively controls the unintended noises with the same frequency as the target signals.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-4"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142447056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465370
Siyuan Zhang;Dongsheng Niu;Zhi Zhou;Yanglong Duan;Jian Chen;Genben Yang
The Direct Normal Irradiance (DNI), being the energy source for solar thermal power plants, can remarkably impact the reliability and efficiency of these plants because of its inherent randomness and fluctuations. In this view, we propose a prediction method for DNI based on the Variational Mode Decomposition-Whale Optimization Algorithm-Deep Extreme Learning Machine (VMD-WOA-DELM) to optimize the control and operation of such plants. Initially, the VMD technique is utilized to decompose the DNI into intrinsic mode function components, followed by the extraction of temporal and frequency domain characteristics to form feature vectors for each component. Subsequently, the WOA is employed for parameter optimization, enhancing algorithm stability, and yielding the optimal classification model. Finally, the solar DNI is determined by an improved Extreme Learning Machine algorithm, DELM. Taking a solar thermal power plant in Qinghai Province as a case study, an analysis of actual predictive performance and corresponding performance evaluation indicators concludes that the variations and numerical values of DNI can be accurately forecasted using the established prediction approach.
直接正辐照度（DNI）是太阳能热发电厂的能源，由于其固有的随机性和波动性，会对这些发电厂的可靠性和效率产生显著影响。有鉴于此，我们提出了一种基于变异模式分解-鲸鱼优化算法-深度极端学习机（VMD-WOA-DELM）的 DNI 预测方法，以优化此类发电厂的控制和运行。首先，利用 VMD 技术将 DNI 分解为固有模式函数分量，然后提取时域和频域特征，形成每个分量的特征向量。随后，利用 WOA 进行参数优化，增强算法的稳定性，并得出最佳分类模型。最后，通过改进的极限学习机算法 DELM 确定太阳能 DNI。以青海省的一家太阳能热电厂为例，通过对实际预测性能和相应的性能评估指标进行分析，得出结论认为，利用所建立的预测方法，可以准确预测 DNI 的变化和数值。
{"title":"Prediction Method of Direct Normal Irradiance for Solar Thermal Power Plants Based on VMD-WOA-DELM","authors":"Siyuan Zhang;Dongsheng Niu;Zhi Zhou;Yanglong Duan;Jian Chen;Genben Yang","doi":"10.1109/TASC.2024.3465370","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465370","url":null,"abstract":"The Direct Normal Irradiance (DNI), being the energy source for solar thermal power plants, can remarkably impact the reliability and efficiency of these plants because of its inherent randomness and fluctuations. In this view, we propose a prediction method for DNI based on the Variational Mode Decomposition-Whale Optimization Algorithm-Deep Extreme Learning Machine (VMD-WOA-DELM) to optimize the control and operation of such plants. Initially, the VMD technique is utilized to decompose the DNI into intrinsic mode function components, followed by the extraction of temporal and frequency domain characteristics to form feature vectors for each component. Subsequently, the WOA is employed for parameter optimization, enhancing algorithm stability, and yielding the optimal classification model. Finally, the solar DNI is determined by an improved Extreme Learning Machine algorithm, DELM. Taking a solar thermal power plant in Qinghai Province as a case study, an analysis of actual predictive performance and corresponding performance evaluation indicators concludes that the variations and numerical values of DNI can be accurately forecasted using the established prediction approach.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-4"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142438566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, polypropylene (PP) film samples were obtained at different stretching ratios. The dielectric properties of PP samples were studied. The crystal morphology and orientation degree of the materials were characterized. The findings indicate that the PP film sample with the stretching ratio 5 × 5 has the lowest conductivity and the highest breakdown strength. Moreover, the effect mechanism of the stretching ratio on the dielectric properties of PP films was explored. A reasonable stretching ratio can make the molecular chains of PP aligned, form an orderly crystalline morphology, and improve the crystallinity. When the stretching ratio is too high, the orientation degree of PP will decrease and the spherulite structure will be destroyed, leading to a decrease in dielectric properties. The research results can serve as a reference for improving the dielectric properties of PP films.
{"title":"Effect of Stretching Ratio on Dielectric Properties of Polypropylene Film for Capacitor in SMES","authors":"Zhaoliang Xing;Shaowei Guo;Jianhong Hao;Bo Qi;Meng Xiao","doi":"10.1109/TASC.2024.3465389","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465389","url":null,"abstract":"In this paper, polypropylene (PP) film samples were obtained at different stretching ratios. The dielectric properties of PP samples were studied. The crystal morphology and orientation degree of the materials were characterized. The findings indicate that the PP film sample with the stretching ratio 5 × 5 has the lowest conductivity and the highest breakdown strength. Moreover, the effect mechanism of the stretching ratio on the dielectric properties of PP films was explored. A reasonable stretching ratio can make the molecular chains of PP aligned, form an orderly crystalline morphology, and improve the crystallinity. When the stretching ratio is too high, the orientation degree of PP will decrease and the spherulite structure will be destroyed, leading to a decrease in dielectric properties. The research results can serve as a reference for improving the dielectric properties of PP films.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-4"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142600219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465460
Ling Qin;Hui Yang;Shuhua Fang;Heyun Lin
This paper proposes a series-parallel variable reluctance memory machine with zero-sequence (ZS) current magnetization capability (ZSCM-SPVRMM). The magnetization states (MSs) of LCF PM can be adjusted by injecting a ZS current, which improves the space utilization ratio. The ZSCM-SPVRMM utilizes the SP design. The series PM pole can protect the MS stability of LCF PM, while the parallel design can improve the torque capability. The machine topology and flux adjustable principle are described in detail. Through optimizing the stator/rotor combinations and optimization, the machine parameters are determined. The electromagnetic performance o of the proposed design is investigated, which indicates the ZSCM-SPVRMM has a good ability of flux regulation.
{"title":"A Series-Parallel Variable Reluctance Memory Machine With Zero-Sequence Current Adjustment Magnetization Capability","authors":"Ling Qin;Hui Yang;Shuhua Fang;Heyun Lin","doi":"10.1109/TASC.2024.3465460","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465460","url":null,"abstract":"This paper proposes a series-parallel variable reluctance memory machine with zero-sequence (ZS) current magnetization capability (ZSCM-SPVRMM). The magnetization states (MSs) of LCF PM can be adjusted by injecting a ZS current, which improves the space utilization ratio. The ZSCM-SPVRMM utilizes the SP design. The series PM pole can protect the MS stability of LCF PM, while the parallel design can improve the torque capability. The machine topology and flux adjustable principle are described in detail. Through optimizing the stator/rotor combinations and optimization, the machine parameters are determined. The electromagnetic performance o of the proposed design is investigated, which indicates the ZSCM-SPVRMM has a good ability of flux regulation.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465448
Xiaofei Chen;Han Zhao;Junhui Cheng
The joint motor module, being a pivotal component of collaborative robots, exerts a direct and substantial influence on the overall performance of the robot. This research endeavors to develop an innovative model-based robust controller aimed at enhancing control accuracy and the dynamic response of joint motor modules. Commencing with the dynamic model of the joint motor modules, we devised the controller and verified its stability through theoretical analysis. A MATLAB simulation of position step response and sinusoidal signal tracking is used to compare how well the new rubber controller, the model-based proportion controller, and the standard PID controller work. The simulations clearly show that the newly designed robust controller is better than others in terms of dynamic response and steady-state error reduction. This makes it a clever way to control joint motor modules with high precision and keep the system stable.
{"title":"Robust Controller Design for Robot Joint Motor Modules Based on Dynamical Model","authors":"Xiaofei Chen;Han Zhao;Junhui Cheng","doi":"10.1109/TASC.2024.3465448","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465448","url":null,"abstract":"The joint motor module, being a pivotal component of collaborative robots, exerts a direct and substantial influence on the overall performance of the robot. This research endeavors to develop an innovative model-based robust controller aimed at enhancing control accuracy and the dynamic response of joint motor modules. Commencing with the dynamic model of the joint motor modules, we devised the controller and verified its stability through theoretical analysis. A MATLAB simulation of position step response and sinusoidal signal tracking is used to compare how well the new rubber controller, the model-based proportion controller, and the standard PID controller work. The simulations clearly show that the newly designed robust controller is better than others in terms of dynamic response and steady-state error reduction. This makes it a clever way to control joint motor modules with high precision and keep the system stable.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142377180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465457
Kaikai Guo;Cong Li;Youguang Guo
Since the complicated decoupling control strategy of single winding single directional magnetic circuit (SDMC) in linear rotary motor (LRM) limits its application, its control system is carried out based on space vector pulse width modulation, voltage predicted model and the active disturbance rejection control (ADRC) without considering decoupling control in this paper. The SDMC-LRM can be translated to different three-phase permanent magnet synchronous motors working with different electromagnetic parameters by adjusting the nine-phase windings connection form, which causes that the traditional control system with constant control parameters is not suitable for this system with changing motor parameters. In order to solve this problem, the radical basis function neural network algorithm is adopted to optimize the parameters of ADRC when the winding connection form is changed, which not only can simplify the parameter determination progress, but also can enhance the robustness of the control system. The different motion statues with different winding connection forms are concluded, and the dedicated control system simulation model and experimental platform are established to verify the control strategy with different winding connection forms.
{"title":"Control System Analysis of a Linear Rotary Motor With Single Directional Magnetic Circuit Structure","authors":"Kaikai Guo;Cong Li;Youguang Guo","doi":"10.1109/TASC.2024.3465457","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465457","url":null,"abstract":"Since the complicated decoupling control strategy of single winding single directional magnetic circuit (SDMC) in linear rotary motor (LRM) limits its application, its control system is carried out based on space vector pulse width modulation, voltage predicted model and the active disturbance rejection control (ADRC) without considering decoupling control in this paper. The SDMC-LRM can be translated to different three-phase permanent magnet synchronous motors working with different electromagnetic parameters by adjusting the nine-phase windings connection form, which causes that the traditional control system with constant control parameters is not suitable for this system with changing motor parameters. In order to solve this problem, the radical basis function neural network algorithm is adopted to optimize the parameters of ADRC when the winding connection form is changed, which not only can simplify the parameter determination progress, but also can enhance the robustness of the control system. The different motion statues with different winding connection forms are concluded, and the dedicated control system simulation model and experimental platform are established to verify the control strategy with different winding connection forms.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142434587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-20DOI: 10.1109/TASC.2024.3465378
Jiaqi Wang;Qiankun Zhang
We propose an end-to-end framework for inversely designing permanent magnets named IDM-Net. It utilizes a fundamental encoder-decoder architecture to handle multiple tasks. In more detail, the encoder is responsible for deeply extracting features of the magnetic field and categorizing different types of magnet shapes. The decoder focuses on inferring significant properties of each specific type of magnet shape, including size, position, and magnetization intensity. Such architecture breaks the critical limitation of designing only a single type of magnet in literature. Further, it allows for flexible choices of encoders' networks, such as convolutional neural networks (CNNs) or transformers, which are widely used in various computer vision tasks. Our experimental results demonstrate that the ResNet50-based and ViT-B/16-based IDM-Nets achieve accuracies of 93.8% and 91.4% in magnet shapes classification and errors of 0.31% and 0.33% in predicting magnetic properties, respectively.
{"title":"IDM-Net: A Multi-Task Supported Encoder-Decoder Framework for Magnetic Field Inverse Design","authors":"Jiaqi Wang;Qiankun Zhang","doi":"10.1109/TASC.2024.3465378","DOIUrl":"https://doi.org/10.1109/TASC.2024.3465378","url":null,"abstract":"We propose an end-to-end framework for inversely designing permanent magnets named IDM-Net. It utilizes a fundamental encoder-decoder architecture to handle multiple tasks. In more detail, the encoder is responsible for deeply extracting features of the magnetic field and categorizing different types of magnet shapes. The decoder focuses on inferring significant properties of each specific type of magnet shape, including size, position, and magnetization intensity. Such architecture breaks the critical limitation of designing only a single type of magnet in literature. Further, it allows for flexible choices of encoders' networks, such as convolutional neural networks (CNNs) or transformers, which are widely used in various computer vision tasks. Our experimental results demonstrate that the ResNet50-based and ViT-B/16-based IDM-Nets achieve accuracies of 93.8% and 91.4% in magnet shapes classification and errors of 0.31% and 0.33% in predicting magnetic properties, respectively.","PeriodicalId":13104,"journal":{"name":"IEEE Transactions on Applied Superconductivity","volume":"34 8","pages":"1-5"},"PeriodicalIF":1.7,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142376947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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