An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor
The Model Reference Adaptive System (MRAS) is adopted based on VVVF start to identify the rotor speed. In order to identify the mutual-inductance parameters under offline when the motor with load, an offline identification method of mutual-inductance parameters Lm for stator and rotor of induction m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2012-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.013 |
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| _version_ | 1849224684081512448 |
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| author | NIU Ying ZHANG Shaoyun LIU Fei ZHANG Tiejun CHEN Gang |
| author_facet | NIU Ying ZHANG Shaoyun LIU Fei ZHANG Tiejun CHEN Gang |
| author_sort | NIU Ying |
| collection | DOAJ |
| description | The Model Reference Adaptive System (MRAS) is adopted based on VVVF start to identify the rotor speed. In order to identify the mutual-inductance parameters under offline when the motor with load, an offline identification method of mutual-inductance parameters Lm for stator and rotor of induction motor is proposed in this paper. The principles and implement methods of rotating speed identification for the speed sensorless are described, and the effect of the algorithm is validated by Matlab simulation. |
| format | Article |
| id | doaj-art-d98181e3d7804345a30bf46cf401dd59 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2012-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-d98181e3d7804345a30bf46cf401dd592025-08-25T06:56:30ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272012-01-0129515482338391An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction MotorNIU YingZHANG ShaoyunLIU FeiZHANG TiejunCHEN GangThe Model Reference Adaptive System (MRAS) is adopted based on VVVF start to identify the rotor speed. In order to identify the mutual-inductance parameters under offline when the motor with load, an offline identification method of mutual-inductance parameters Lm for stator and rotor of induction motor is proposed in this paper. The principles and implement methods of rotating speed identification for the speed sensorless are described, and the effect of the algorithm is validated by Matlab simulation.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.013induction motorMRASspeed sensorlessmutual-inductanceparameter identification |
| spellingShingle | NIU Ying ZHANG Shaoyun LIU Fei ZHANG Tiejun CHEN Gang An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor Kongzhi Yu Xinxi Jishu induction motor MRAS speed sensorless mutual-inductance parameter identification |
| title | An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor |
| title_full | An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor |
| title_fullStr | An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor |
| title_full_unstemmed | An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor |
| title_short | An Offline Identification Method of Mutual-inductance Parameters between Stator and Rotor of Induction Motor |
| title_sort | offline identification method of mutual inductance parameters between stator and rotor of induction motor |
| topic | induction motor MRAS speed sensorless mutual-inductance parameter identification |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2095-3631.2012.05.013 |
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