{"title":"基于虚电压矢量的串联端绕组零序电流激励存储机支持向量机策略","authors":"Hui Yang;Yuming Yi;Kai Lyu;Heyun Lin;Shuhua Fang;Feng Yu;Hanlin Zhan","doi":"10.1109/TIE.2024.3522492","DOIUrl":null,"url":null,"abstract":"Zero-sequence current excited memory machine (ZSCE-MM) employs transient zero-sequence current (ZSC) to change the magnetization state of low-coercive-force (LCF) magnet. Hence, the torque density improvement and flexible flux regulation can be realized simultaneously without requiring additional magnetizing winding as well as associate current controller. However, this advantage of ZSCE-MM cannot be fully utilized through the traditional virtual voltage vector based-space vector modulation (V<sup>3</sup>-SVM) strategy, which constrains the ZSC generation ability. Consequently, a novel V<sup>3</sup>-SVM based on virtual voltage vector reconstitution technology with high dc-link voltage utilization is proposed for ZSCE-MM drive, while the simple identification progress is also preserved. Since the virtual voltage vector is expanded from the 0-axis to 3-D space, the linear modulation region in 3-D space can be enlarged. The proposed novel V<sup>3</sup>-SVM strategy can generate a higher amplitude of ZSC under the on-load situation, which means a wider flux regulation region can be achieved which is beneficial for global efficiency improvement of ZSCE-MM. The effectiveness of proposed novel V<sup>3</sup>-SVM strategy is validated by both simulation and experimental results.","PeriodicalId":13402,"journal":{"name":"IEEE Transactions on Industrial Electronics","volume":"72 8","pages":"7716-7729"},"PeriodicalIF":7.2000,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Virtual Voltage Vector Based-SVM Strategy for Zero-Sequence Current Excited Memory Machine With Series-End Winding\",\"authors\":\"Hui Yang;Yuming Yi;Kai Lyu;Heyun Lin;Shuhua Fang;Feng Yu;Hanlin Zhan\",\"doi\":\"10.1109/TIE.2024.3522492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Zero-sequence current excited memory machine (ZSCE-MM) employs transient zero-sequence current (ZSC) to change the magnetization state of low-coercive-force (LCF) magnet. Hence, the torque density improvement and flexible flux regulation can be realized simultaneously without requiring additional magnetizing winding as well as associate current controller. However, this advantage of ZSCE-MM cannot be fully utilized through the traditional virtual voltage vector based-space vector modulation (V<sup>3</sup>-SVM) strategy, which constrains the ZSC generation ability. Consequently, a novel V<sup>3</sup>-SVM based on virtual voltage vector reconstitution technology with high dc-link voltage utilization is proposed for ZSCE-MM drive, while the simple identification progress is also preserved. Since the virtual voltage vector is expanded from the 0-axis to 3-D space, the linear modulation region in 3-D space can be enlarged. The proposed novel V<sup>3</sup>-SVM strategy can generate a higher amplitude of ZSC under the on-load situation, which means a wider flux regulation region can be achieved which is beneficial for global efficiency improvement of ZSCE-MM. The effectiveness of proposed novel V<sup>3</sup>-SVM strategy is validated by both simulation and experimental results.\",\"PeriodicalId\":13402,\"journal\":{\"name\":\"IEEE Transactions on Industrial Electronics\",\"volume\":\"72 8\",\"pages\":\"7716-7729\"},\"PeriodicalIF\":7.2000,\"publicationDate\":\"2025-01-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Industrial Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10829377/\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Industrial Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10829377/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
A Novel Virtual Voltage Vector Based-SVM Strategy for Zero-Sequence Current Excited Memory Machine With Series-End Winding
Zero-sequence current excited memory machine (ZSCE-MM) employs transient zero-sequence current (ZSC) to change the magnetization state of low-coercive-force (LCF) magnet. Hence, the torque density improvement and flexible flux regulation can be realized simultaneously without requiring additional magnetizing winding as well as associate current controller. However, this advantage of ZSCE-MM cannot be fully utilized through the traditional virtual voltage vector based-space vector modulation (V3-SVM) strategy, which constrains the ZSC generation ability. Consequently, a novel V3-SVM based on virtual voltage vector reconstitution technology with high dc-link voltage utilization is proposed for ZSCE-MM drive, while the simple identification progress is also preserved. Since the virtual voltage vector is expanded from the 0-axis to 3-D space, the linear modulation region in 3-D space can be enlarged. The proposed novel V3-SVM strategy can generate a higher amplitude of ZSC under the on-load situation, which means a wider flux regulation region can be achieved which is beneficial for global efficiency improvement of ZSCE-MM. The effectiveness of proposed novel V3-SVM strategy is validated by both simulation and experimental results.
期刊介绍:
Journal Name: IEEE Transactions on Industrial Electronics
Publication Frequency: Monthly
Scope:
The scope of IEEE Transactions on Industrial Electronics encompasses the following areas:
Applications of electronics, controls, and communications in industrial and manufacturing systems and processes.
Power electronics and drive control techniques.
System control and signal processing.
Fault detection and diagnosis.
Power systems.
Instrumentation, measurement, and testing.
Modeling and simulation.
Motion control.
Robotics.
Sensors and actuators.
Implementation of neural networks, fuzzy logic, and artificial intelligence in industrial systems.
Factory automation.
Communication and computer networks.