Online adaptation of two-parameter inverter model in sensorless motor drives
This paper designs parameter adaptation algorithms for online simultaneous identification of a two-parameter sigmoid inverter model for compensating inverter nonlinearity to reduce the voltage error in flux estimation for a position sensorless motor drive. The inverter model has two parameters, a2 a...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/157166 |
| _version_ | 1811691156798439424 |
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| author | Chen, Jiahao Mei, Jie Yuan, Xin Zuo, Yuefei Zhu, Jingwei Lee, Christopher Ho Tin |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Chen, Jiahao Mei, Jie Yuan, Xin Zuo, Yuefei Zhu, Jingwei Lee, Christopher Ho Tin |
| author_sort | Chen, Jiahao |
| collection | NTU |
| description | This paper designs parameter adaptation algorithms for online simultaneous identification of a two-parameter sigmoid inverter model for compensating inverter nonlinearity to reduce the voltage error in flux estimation for a position sensorless motor drive. The inverter model has two parameters, a2 and a3, where a2 is plateau voltage, and a3 is a shape parameter that mainly accounts for the stray capacitor effect. Parameter a3 is identified by the (6k 1)-th order harmonics in measured current. Parameter a2 is identified by the amplitude mismatch of the estimated active flux. It is found that the classic linear flux estimator, i.e., the hybrid of voltage model and current model, cannot be used for a2 identification. This paper proposes to use a saturation function based nonlinear flux estimator to build an effective indicator for a2 error. The coupled identifiability of the two parameters is revealed and analyzed, which was not seen in literature. The concept of the low current region where the two way coupling between a2 and a3 occurs is established. The experimental results in which dc bus voltage variation and load change are imposed, have shown the effectiveness of the proposed online inverter identification and compensation, even near low current region. |
| first_indexed | 2024-10-01T06:15:25Z |
| format | Journal Article |
| id | ntu-10356/157166 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:15:25Z |
| publishDate | 2022 |
| record_format | dspace |
| spelling | ntu-10356/1571662023-04-21T02:48:16Z Online adaptation of two-parameter inverter model in sensorless motor drives Chen, Jiahao Mei, Jie Yuan, Xin Zuo, Yuefei Zhu, Jingwei Lee, Christopher Ho Tin School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Active Flux Estimator Inverter Nonlinearity Model This paper designs parameter adaptation algorithms for online simultaneous identification of a two-parameter sigmoid inverter model for compensating inverter nonlinearity to reduce the voltage error in flux estimation for a position sensorless motor drive. The inverter model has two parameters, a2 and a3, where a2 is plateau voltage, and a3 is a shape parameter that mainly accounts for the stray capacitor effect. Parameter a3 is identified by the (6k 1)-th order harmonics in measured current. Parameter a2 is identified by the amplitude mismatch of the estimated active flux. It is found that the classic linear flux estimator, i.e., the hybrid of voltage model and current model, cannot be used for a2 identification. This paper proposes to use a saturation function based nonlinear flux estimator to build an effective indicator for a2 error. The coupled identifiability of the two parameters is revealed and analyzed, which was not seen in literature. The concept of the low current region where the two way coupling between a2 and a3 occurs is established. The experimental results in which dc bus voltage variation and load change are imposed, have shown the effectiveness of the proposed online inverter identification and compensation, even near low current region. National Research Foundation (NRF) Submitted/Accepted version This work was supported by National Research Foundation (NRF) Singapore, under its NRF Fellowship under Grant NRF-NRFF12-2020-0003. 2022-05-09T07:18:33Z 2022-05-09T07:18:33Z 2022 Journal Article Chen, J., Mei, J., Yuan, X., Zuo, Y., Zhu, J. & Lee, C. H. T. (2022). Online adaptation of two-parameter inverter model in sensorless motor drives. IEEE Transactions On Industrial Electronics, 69(10), 9860-9871. https://dx.doi.org/10.1109/TIE.2021.3139173 0278-0046 https://hdl.handle.net/10356/157166 10.1109/TIE.2021.3139173 2-s2.0-85122885555 10 69 9860 9871 en NRF-NRFF12-2020-0003 IEEE Transactions on Industrial Electronics © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TIE.2021.3139173. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Active Flux Estimator Inverter Nonlinearity Model Chen, Jiahao Mei, Jie Yuan, Xin Zuo, Yuefei Zhu, Jingwei Lee, Christopher Ho Tin Online adaptation of two-parameter inverter model in sensorless motor drives |
| title | Online adaptation of two-parameter inverter model in sensorless motor drives |
| title_full | Online adaptation of two-parameter inverter model in sensorless motor drives |
| title_fullStr | Online adaptation of two-parameter inverter model in sensorless motor drives |
| title_full_unstemmed | Online adaptation of two-parameter inverter model in sensorless motor drives |
| title_short | Online adaptation of two-parameter inverter model in sensorless motor drives |
| title_sort | online adaptation of two parameter inverter model in sensorless motor drives |
| topic | Engineering::Electrical and electronic engineering Active Flux Estimator Inverter Nonlinearity Model |
| url | https://hdl.handle.net/10356/157166 |
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