2019 IEEE International Electric Machines & Drives Conference (IEMDC)最新文献_第4页

Modeling and Analysis of Novel Star-Delta Winding Configuration with Odd Slot Numbers for Reduced Space Harmonics Using Winding Function 基于绕线函数的新型奇槽星三角绕线构型空间谐波化建模与分析

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785395

S. Mukundan, H. Dhulipati, G. Feng, J. Tjong, N. Kar

{"title":"Modeling and Analysis of Novel Star-Delta Winding Configuration with Odd Slot Numbers for Reduced Space Harmonics Using Winding Function","authors":"S. Mukundan, H. Dhulipati, G. Feng, J. Tjong, N. Kar","doi":"10.1109/IEMDC.2019.8785395","DOIUrl":"https://doi.org/10.1109/IEMDC.2019.8785395","url":null,"abstract":"Existing literature on 3-phase combined star-delta winding topologies only focuses on even slot numbers or conventional multiples of 6, since they emulate a 6-phase configuration with a phase difference of 30° between the star and delta connected sets. Contrarily, if a turns ratio of √3 can be achieved with proper coil and turns distribution, unconventional odd slot numbers and non-multiples of 6 can be implemented resulting in various possible design solutions with minimum spatial harmonic contents. Therefore, this paper focuses on modeling and analysis of a novel star-delta winding configuration using unconventional odd slot numbers for fractional-slot wound machines towards maximum torque density and reduced space harmonic content. Initially, a generalized analytical model using winding function theory for any slot-pole combination is presented. Furthermore, a comprehensive comparative analysis of a novel odd slot-pole combination and a conventional topology is presented in terms of spatial harmonic contents, saliency, torque density, torque ripple, rated machine efficiency and overall operating speed range.","PeriodicalId":378634,"journal":{"name":"2019 IEEE International Electric Machines & Drives Conference (IEMDC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128741562","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}

引用次数: 3

Performance of Halbach Cycloidal Magnetic Gears with Respect to Torque Density and Gear Ratio 哈尔巴赫摆线磁齿轮的转矩密度和传动比性能

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785259

Hailin Huang, R. Qu, J. Bird

引用次数: 9

Quantification of Rolling- Element Bearing Fault Severity of Induction Machines 感应电机滚动轴承故障程度的量化

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785225

S. Zhang, Bingnan Wang, M. Kanemaru, Chungwei Lin, Dehong Liu, K. Teo, T. Habetler

{"title":"Quantification of Rolling- Element Bearing Fault Severity of Induction Machines","authors":"S. Zhang, Bingnan Wang, M. Kanemaru, Chungwei Lin, Dehong Liu, K. Teo, T. Habetler","doi":"10.1109/IEMDC.2019.8785225","DOIUrl":"https://doi.org/10.1109/IEMDC.2019.8785225","url":null,"abstract":"The characteristic frequencies of different types of bearing faults can be calculated by a well-defined frequency-based model that depends on the motor speed, the bearing geometry and the specific location of a defect inside a bearing. Therefore, the existence of a bearing fault as well as its specific fault type can be readily determined by performing frequency spectral analyses on the monitored signals. However, this traditional approach, despite being simple and intuitive, is not able to identify the severity of a bearing fault in a quantitatively manner. Moreover, it is often tedious and time-consuming to apply this approach to electric machines with different power ratings, as the bearing fault threshold values need to be manually calibrated for each motor running at every possible speed and carrying any possible load. This paper thus proposes a quantitative approach to estimate a bearing fault severity based on the air gap displacement profile, which is reconstructed from the mutual inductance variation profile estimated from a novel electrical model that only takes the stator current as input. In addition, the accuracy of the electrical model and the estimated bearing fault severity are validated by simulation results. The proposed method can be used to monitor bearing faults in induction machines with any power ratings that operate under any speeds and loads, and a bearing fault alarm will be triggered if the fault severity exceeds a universal threshold value.","PeriodicalId":378634,"journal":{"name":"2019 IEEE International Electric Machines & Drives Conference (IEMDC)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114871220","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}

引用次数: 5

Decoupled Model for Asymmetrical Dual Three Phase Permanent Magnet Synchronous Machine 非对称双三相永磁同步电机的解耦模型

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785279

Yuzheng Chen, S. Bozhko, Linhui Fan, Tao Yang, M. Khowja

引用次数: 7

Effects of Annealing on Magnetic Properties of Laminated Stator Cores and Efficiency of Induction Machines 退火对感应电机层压定子铁芯磁性能及效率的影响

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785419

P. Breining, Abdullah Kahveci, M. Doppelbauer

引用次数: 4

Combined Winding Structure of a Consequent-Pole Bearingless Motor with Parallel Motor Winding Topology 具有并联电机绕组拓扑的次极无轴承电机组合绕组结构

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785145

Takahiro Noguchi, H. Sugimoto, A. Chiba

引用次数: 2

Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors 基于深度残差卷积和递归神经网络的永磁同步电机温度估计

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785109

Wilhelm Kirchgässner, O. Wallscheid, J. Böcker

{"title":"Deep Residual Convolutional and Recurrent Neural Networks for Temperature Estimation in Permanent Magnet Synchronous Motors","authors":"Wilhelm Kirchgässner, O. Wallscheid, J. Böcker","doi":"10.1109/IEMDC.2019.8785109","DOIUrl":"https://doi.org/10.1109/IEMDC.2019.8785109","url":null,"abstract":"Most traction drive applications using permanent magnet synchronous motors (PMSMs) lack accurate temperature monitoring capabilities so that safe operation is ensured through expensive, oversized materials at the cost of its effective utilization. Classic thermal modeling is conducted with e.g. lumped-parameter thermal networks (LPTNs), which help to estimate internal component temperatures rather precisely but also require expertise in choosing model parameters and lack physical interpretability as soon as their degrees of freedom are curtailed in order to meet the real-time requirement. In this work, deep recurrent and convolutional neural networks with residual connections are empirically evaluated for their feasibility on the sequence learning task of predicting latent high-dynamic temperatures inside PMSMs, which, to the authors' best knowledge, has not been elaborated in previous literature. In a highly utilized PMSM for electric vehicle applications, the temperature profile in the stator teeth, winding, and yoke as well as the rotor's permanent magnets are modeled while their ground truth is available as test bench data. A model hyperparameter search is conducted sequentially via Bayesian optimization across different random number generator seeds in order to evaluate model training consistency and to find promising topologies as well as optimization strategies systematically. It has been found that the mean squared error and maximum absolute deviation performances of both, deep recurrent and convolutional neural networks with residual connections, meet those of LPTNs, without requiring domain expertise for their design. Code is available at [1] to assist related work.","PeriodicalId":378634,"journal":{"name":"2019 IEEE International Electric Machines & Drives Conference (IEMDC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117122068","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}

引用次数: 42

Bonded Magnets in PM-Assisted Synchronous Reluctance Machines: Performance Dependence on the Production Technology 永磁同步磁阻电机中的粘结磁体:性能对生产技术的依赖

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785079

E. Pošković, Cristian Babetto, N. Bianchi, L. Ferraris

引用次数: 2

Discussion on Control Methods with Finite-Control-Set Concept for PMSM Drives 基于有限控制集概念的永磁同步电机控制方法探讨

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785305

Zhenkun Zhang, Zhenbin Zhang, C. Garcia, José R. Rodríguez, Weiqing Huang, R. Kennel

引用次数: 6

Electromagnetic Properties of Soft Magnetic Composites and Electrical Steels at High Frequencies Considering Material Manufacturing Techniques 考虑材料制造技术的软磁复合材料和电工钢的高频电磁性能

2019 IEEE International Electric Machines & Drives Conference (IEMDC) Pub Date : 2019-05-12 DOI: 10.1109/IEMDC.2019.8785071

D. Gumbleton-Wood, G. Atkinson, L. Sjöberg

{"title":"Electromagnetic Properties of Soft Magnetic Composites and Electrical Steels at High Frequencies Considering Material Manufacturing Techniques","authors":"D. Gumbleton-Wood, G. Atkinson, L. Sjöberg","doi":"10.1109/IEMDC.2019.8785071","DOIUrl":"https://doi.org/10.1109/IEMDC.2019.8785071","url":null,"abstract":"A comprehensive magnetic comparison study is conducted on ring samples comprised of Soft Magnetic Composite (SMC) and electrical steel materials. The testing is performed under DC and AC conditions in an effort to characterize the materials magnetic compatibility for use in the increasingly prevalent research area that is high-speed electrical machines. DC tests show the improved magnetization characteristics for electrical steels emerging from their smooth, unimpeded microstructure. The measured DC characteristics and data obtained from simulation software can be vastly different. The magnitude of which is shown to be over 100 %. High-frequency AC loss measurements find that SMC and particularly thin electrical steel materials maintain a superior performance over thicker laminations at frequencies commonly encountered in high-speed machines. Hysteresis loop measurements highlight the extent of deterioration due to mechanical cutting of each material and a discussion on the possible underlying causes based on material properties is given. Cross-over frequencies of SMC grades over laminations are found to be as low as 68 Hz. AC loss results are compared with Finite Element Analysis (FEA) simulations and highlight the tendency for machine designers to employ a build factor when calculating iron loss during the design stages of a machine. A build factor is simply an error between simulated and measured loss. Errors are shown to be as high as 70 % for lamination materials and 2 % for SMC. FEA clearly does not account for the degradation of materials during cutting. This problem can be addressed with the proposal of new loss coefficients chosen according to the cutting technique and should also be a function of frequency and induction. This is a potential research area for future work.","PeriodicalId":378634,"journal":{"name":"2019 IEEE International Electric Machines & Drives Conference (IEMDC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123001817","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}

引用次数: 2