Flux Saturation Model Including Cross-Saturation for Synchronous Reluctance Machines and its Identification Method at Standstill
- Authors
- Woo, Taegyeom; Park, Sang-Woo; Choi, Seung-Cheul; Lee, Hak-Jun; Yoon, Young-Doo
- Issue Date
- Mar-2023
- Publisher
- Institute of Electrical and Electronics Engineers
- Keywords
- Computational modeling; Magnetic flux; Mathematical models; Parameter estimation; Rotors; Torque; Voltage
- Citation
- IEEE Transactions on Industrial Electronics, v.70, no.3, pp 1 - 11
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE Transactions on Industrial Electronics
- Volume
- 70
- Number
- 3
- Start Page
- 1
- End Page
- 11
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/185413
- DOI
- 10.1109/TIE.2022.3174233
- ISSN
- 0278-0046
1557-9948
- Abstract
- This paper proposes a magnetic flux saturation model that well represents the cross saturation of SynRM and a parameter estimation method of the proposed saturation model. The proposed flux saturation model consists of terms for self-saturation and cross-saturation, and it expresses well the nonlinear relationship between current and flux of SynRMs, as well as satisfies the reciprocity condition. Using the flux saturation data obtained during self-identification, the parameters of the flux saturation model are estimated. Because the proposed magnetic flux saturation model includes an arctangent function, it is not possible to estimate parameters directly using linear least squares method. However, the proposed parameter estimation method integrates the self-saturation model and transforms it into a polynomial to which linear LSM can be applied. In addition, parameters related to cross saturation are also estimated using linear LSM. Therefore, the proposed parameter estimation method is easy to implement and can be applied to general-purposed inverter products. The effectiveness of the proposed model and its identification method were experimentally evaluated with a 1.5 kW SynRM. Additionally, the identified model was verified with the accuracy of the MTPA table and the performance of sensorless control.
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