Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors
This paper presents a phase-inductance-based position estimation method for interior permanent magnet synchronous motors (IPMSMs). According to the characteristics of phase induction of IPMSMs, the corresponding relationship of the rotor position and the phase inductance is obtained. In order to eli...
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doaj-00101035859b4538b27ad9a28507159b2020-11-24T21:43:25ZengMDPI AGEnergies1996-10732017-12-011012200210.3390/en10122002en10122002Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous MotorsXin Qiu0Weiye Wang1Jianfei Yang2Jie Jiang3Jiquan Yang4School of Electrical and Automation Engineering, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing Normal University, Nanjing 210023, ChinaSchool of Electrical and Automation Engineering, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing Normal University, Nanjing 210023, ChinaSchool of Electrical and Automation Engineering, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing Normal University, Nanjing 210023, ChinaSchool of Mechanical and Electrical Engineering, Nantong Institute of Technology, Nantong 226002, ChinaSchool of Electrical and Automation Engineering, Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing, Nanjing Normal University, Nanjing 210023, ChinaThis paper presents a phase-inductance-based position estimation method for interior permanent magnet synchronous motors (IPMSMs). According to the characteristics of phase induction of IPMSMs, the corresponding relationship of the rotor position and the phase inductance is obtained. In order to eliminate the effect of the zero-sequence component of phase inductance and reduce the rotor position estimation error, the phase inductance difference is employed. With the iterative computation of inductance vectors, the position plane is further subdivided, and the rotor position is extracted by comparing the amplitudes of inductance vectors. To decrease the consumption of computer resources and increase the practicability, a simplified implementation is also investigated. In this method, the rotor position information is achieved easily, with several basic math operations and logical comparisons of phase inductances, without any coordinate transformation or trigonometric function calculation. Based on this position estimation method, the field orientated control (FOC) strategy is established, and the detailed implementation is also provided. A series of experiment results from a prototype demonstrate the correctness and feasibility of the proposed method.https://www.mdpi.com/1996-1073/10/12/2002interior permanent magnet synchronous motorphase inductancerotor position estimationinductance vector |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xin Qiu Weiye Wang Jianfei Yang Jie Jiang Jiquan Yang |
spellingShingle |
Xin Qiu Weiye Wang Jianfei Yang Jie Jiang Jiquan Yang Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors Energies interior permanent magnet synchronous motor phase inductance rotor position estimation inductance vector |
author_facet |
Xin Qiu Weiye Wang Jianfei Yang Jie Jiang Jiquan Yang |
author_sort |
Xin Qiu |
title |
Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors |
title_short |
Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors |
title_full |
Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors |
title_fullStr |
Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors |
title_full_unstemmed |
Phase-Inductance-Based Position Estimation Method for Interior Permanent Magnet Synchronous Motors |
title_sort |
phase-inductance-based position estimation method for interior permanent magnet synchronous motors |
publisher |
MDPI AG |
series |
Energies |
issn |
1996-1073 |
publishDate |
2017-12-01 |
description |
This paper presents a phase-inductance-based position estimation method for interior permanent magnet synchronous motors (IPMSMs). According to the characteristics of phase induction of IPMSMs, the corresponding relationship of the rotor position and the phase inductance is obtained. In order to eliminate the effect of the zero-sequence component of phase inductance and reduce the rotor position estimation error, the phase inductance difference is employed. With the iterative computation of inductance vectors, the position plane is further subdivided, and the rotor position is extracted by comparing the amplitudes of inductance vectors. To decrease the consumption of computer resources and increase the practicability, a simplified implementation is also investigated. In this method, the rotor position information is achieved easily, with several basic math operations and logical comparisons of phase inductances, without any coordinate transformation or trigonometric function calculation. Based on this position estimation method, the field orientated control (FOC) strategy is established, and the detailed implementation is also provided. A series of experiment results from a prototype demonstrate the correctness and feasibility of the proposed method. |
topic |
interior permanent magnet synchronous motor phase inductance rotor position estimation inductance vector |
url |
https://www.mdpi.com/1996-1073/10/12/2002 |
work_keys_str_mv |
AT xinqiu phaseinductancebasedpositionestimationmethodforinteriorpermanentmagnetsynchronousmotors AT weiyewang phaseinductancebasedpositionestimationmethodforinteriorpermanentmagnetsynchronousmotors AT jianfeiyang phaseinductancebasedpositionestimationmethodforinteriorpermanentmagnetsynchronousmotors AT jiejiang phaseinductancebasedpositionestimationmethodforinteriorpermanentmagnetsynchronousmotors AT jiquanyang phaseinductancebasedpositionestimationmethodforinteriorpermanentmagnetsynchronousmotors |
_version_ |
1725914354704973824 |