2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)最新文献_第10页

Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach 基于混合机器学习方法的异步电机转矩精确估计

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432615

Marius Stender, O. Wallscheid, J. Böcker

{"title":"Accurate Torque Estimation for Induction Motors by Utilizing a Hybrid Machine Learning Approach","authors":"Marius Stender, O. Wallscheid, J. Böcker","doi":"10.1109/PEMC48073.2021.9432615","DOIUrl":"https://doi.org/10.1109/PEMC48073.2021.9432615","url":null,"abstract":"Due to the extensive use of induction motors in torque-controlled applications, e.g. in electric vehicles, high torque estimation accuracy is of paramount research importance. Traditionally, the performance of torque estimation highly depends on the accuracy of the observed magnetic flux which is a challenging task due to various non-ideal effects like magnetic saturation, iron losses or skin effect influences. In contrast, a hybrid machine learning observer for torque estimation is presented which also indirectly serves as a stator flux observer, i.e., flux and torque estimation are combined in one approach. To achieve both high estimation accuracy and small model size, not arbitrary neural network topologies are used, but physically-inspired structures based on expert knowledge (hybrid modeling). The main advantage of this method is that the training of the contained neural networks relies solely on recorded torque measurements and no additional flux measurements are required. In the complete operating range, this approach leads to a root mean square torque estimation error of only 1.0 % related to nominal torque. For comparison, observing the magnetic flux with a standard open-loop current model results in a normalized root mean square torque error of 4.6 %.","PeriodicalId":349940,"journal":{"name":"2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128299835","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

Speed Sensorless Control based on Adaptive Luenberger Observer for IPMSM Drive 基于Luenberger观测器的IPMSM无速度传感器控制

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432536

M. Usama, Youn-Ok Choi, Jaehong Kim

{"title":"Speed Sensorless Control based on Adaptive Luenberger Observer for IPMSM Drive","authors":"M. Usama, Youn-Ok Choi, Jaehong Kim","doi":"10.1109/PEMC48073.2021.9432536","DOIUrl":"https://doi.org/10.1109/PEMC48073.2021.9432536","url":null,"abstract":"Interior permanent magnet synchronous motor (IPMSM) salient pole structure drives benefits in utilizing in higher-performance industrial applications. For high-performance application, the control of IPMSM required precise information of rotor angular velocity and shaft position. The speed sensorless control algorithm is designed utilizing the model reference adaptive system (MRAS) based on a Luenberger observer (LO). The Adaptive Luenberger Observer (ALO) estimates rotor speed and used for speed self-sensing control. Due to the MRAS approach, the self-sensing speed control shows sensitivity to stator resistance. To address the effect of parameter variation, the stator resistance is estimated and utilized for efficient control performance. Maximum torque per armature (MTPA) algorithm is used to attain the maximum torque under the minimum phase current. The electrical parameters are estimated based on Popov’s stability criterion. To present the usefulness of the designed speed self-sensing control algorithm, the simulation is executed in Matlab/Simulink. The simulation result shows that the sensorless control algorithm can effectively estimate the shaft speed and position with the help of the state variable and attain steady-state and dynamic performance with computational complexity reduction.","PeriodicalId":349940,"journal":{"name":"2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128218930","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

Modified Basic Converters in the Discontinuous Mode 修改了不连续模式下的基本转换器

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432522

F. Himmelstoss, K. Edelmoser

引用次数: 0

Cogging Torque Minimisation of PM Synchronous Motor Using Nature Based Algorithms 基于自然算法的永磁同步电机齿槽转矩最小化

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432507

G. Cvetkovski, L. Petkovska

{"title":"Cogging Torque Minimisation of PM Synchronous Motor Using Nature Based Algorithms","authors":"G. Cvetkovski, L. Petkovska","doi":"10.1109/PEMC48073.2021.9432507","DOIUrl":"https://doi.org/10.1109/PEMC48073.2021.9432507","url":null,"abstract":"The permanent magnet brushless DC motors and permanent magnet synchronous motors have been widely used in industrial high performance applications in recent years. Although they have good electrical, magnetic and performance characteristics there is one parameter named cogging torque that has a negative influence on the performance characteristics of the motor. This pulsating torque is produced due to the interaction between the stator teeth and the permanent magnets. The minimization of the torque ripple in those permanent magnet motors is of great importance and is generally achieved by a special motor design which in the design process involves a variation of many geometrical motor parameters. In this paper a novel approach is introduced where different nature inspired algorithms, such as genetic algorithm and cuckoo search algorithm are used as a torque minimization tool, where the function definition of the maximum value of the cogging torque is used as an objective function. For that purpose, a proper mathematical presentation of the maximum value of the cogging torque for the analyzed synchronous motor is developed and used. For the purpose of the different motor models analysis, the initial motor and the optimized motor models are modelled and analyzed using a finite element method approach. The cogging torque is analytically and numerically calculated and the results for all the models are presented.","PeriodicalId":349940,"journal":{"name":"2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124006347","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

Design of the control structure for two-mass system with help of the D-decomposition technique 利用d分解技术设计了双质量系统的控制结构

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432601

K. Wróbel, R. Nalepa, Karol Najdek, K. Szabat

引用次数: 1

Fault Tolerant Operation of Active Front End Converter with High Resistance Grounding System

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432512

Yao Da, M. Gries, Colin Hermann

{"title":"Fault Tolerant Operation of Active Front End Converter with High Resistance Grounding System","authors":"Yao Da, M. Gries, Colin Hermann","doi":"10.1109/PEMC48073.2021.9432512","DOIUrl":"https://doi.org/10.1109/PEMC48073.2021.9432512","url":null,"abstract":"High resistance grounding (HRG) system grounds the neutral point of a three-phase power distribution system through high resistance. This grounding scheme limits the ground short circuit current allowing continued operation in case of a single phase to ground fault. Since 1970s, HRG has become prevalent in continuous-process industries where ground fault tolerant operation is desired. An Active front end (AFE) converter is an AC-to-DC converter, in which the diode bridge in a threephase rectifier is replaced by solid state switches, and a line filter is installed between the line and the solid state switches. An AFE allows bidirectional power flow and is typically controlled to maintain near unity power factor. Because of these features, AFEs are gaining popularity in applications where high power factor and high energy efficiency are desired. An AFE has different operating characteristics and phenomena than that of a diode front end (DFE) converter particularly when a ground fault is present in an HRG system. If the system is not carefully considered, the fault tolerant feature of an HRG system will be compromised. So far there is limited literature that analyzed an AFE converter operating in HRG systems, and no literature can be found that studied the impact of a ground fault on the fault tolerant operation for this case. In this manuscript, the phenomenon is presented, verified by simulation and experiment, and the potential solution is discussed in the end.","PeriodicalId":349940,"journal":{"name":"2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124421246","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: 0

Development of a Teaching Methodology of Complex Electromechatronic and Robotic Systems 复杂机电与机器人系统教学方法的发展

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432500

Andrejs Stupāns, Skaidrīte Kriviša, Armands Senfelds, L. Ribickis

引用次数: 2

Design of a Wide Output Voltage Dual Active Bridge Converter as Power Electronics Building Block for the Fast Charging of Electric Vehicles 用于电动汽车快速充电的宽输出电压双有源桥式变换器的电力电子模块设计

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432516

Tim M. Al, Dingsihao Lyu, T. Soeiro, P. Bauer

引用次数: 5

Modular Polyphased Full Order Current State-Space Model of the Modular Multilevel Converter 模块化多电平变换器的模块化多相全阶电流状态空间模型

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432502

Grégoire Le Goff, M. Fadel, M. Bodson

引用次数: 3

Cyber-physical Control System for Autonomous Logistic Robot 自主物流机器人的信息物理控制系统

2021 IEEE 19th International Power Electronics and Motion Control Conference (PEMC) Pub Date : 2021-04-25 DOI: 10.1109/PEMC48073.2021.9432526

H. Pikner, R. Sell, K. Karjust, E. Malayjerdi, T. Velsker

引用次数: 7