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Graduate School of Ajou University
Department of Space Electronics Information Engineering
3. Theses(Master)
매입형 영구자석 동기 전동기의 PLL을 이용한 향상된 회전자 위치 추정
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 이교범 | - |
| dc.contributor.author | 한동엽 | - |
| dc.date.accessioned | 2018-11-08T08:22:32Z | - |
| dc.date.available | 2018-11-08T08:22:32Z | - |
| dc.date.issued | 2016-08 | - |
| dc.identifier.other | 22861 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/13300 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :우주전자정보공학과,2016. 8 | - |
| dc.description.tableofcontents | 제 1 장 서론 1 제 2 장 IPMSM의 전압 모델링 4 제 3 장 회전자 위치 추정 방법 8 3.1최소차원 관측기를 이용한 EEMF 추정 8 3.2 EEMF를 기반한 회전자 위치 추정 9 제 4 장 제안하는 향상된 회전자 위치 추정 방법 11 4.1 PLL을 기반한 회전자의 위치 추정 11 4.2 PI제어기를 통한 회전자 위치 추정 12 제 5 장 시뮬레이션 15 제 6 장 실험 21 제 7 장 결론 28 참고문헌 29 | - |
| dc.language.iso | kor | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | 매입형 영구자석 동기 전동기의 PLL을 이용한 향상된 회전자 위치 추정 | - |
| dc.title.alternative | An Improved Rotor Position Estimation using PLL of Interior Permanent Magnet Synchronous Motor | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Dong Yeob Han | - |
| dc.contributor.department | 일반대학원 우주전자정보공학과 | - |
| dc.date.awarded | 2016. 8 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 758723 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000022861 | - |
| dc.subject.keyword | 센서리스 | - |
| dc.subject.keyword | 매입형 영구자석 동기 전동기 | - |
| dc.subject.keyword | 위치 추정 | - |
| dc.subject.keyword | PLL | - |
| dc.description.alternativeAbstract | This paper proposes a simple sensorless control method based on an extended electromotive force (EEMF) models for an interior permanent magnet synchronous motor. The phase locked-loop (PLL) is used to obtain the phase angle of the grid. The d-axis voltage in a synchronous reference frame contains the information of the grid angle. Since the EEMF contains the position information of a motor, the proposed algorithm estimates the position and speed of a motor using a PLL based on an EEMF. The EEMF can be estimated by using a lease-order observer. Because the calculation burden is reduced by using the proposed algorithm without the fractional expression, the control period can be de decreased. The simulation and experiment results are provided to verify the effectiveness and performance of the proposed sensorless control method with no-load and load conditions. | - |
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