Daniele De De Gaetano
On Torque Improvement by Current Harmonic Injection in Isotropic and Anisotropic Multiphase Machines
De Gaetano, Daniele De; Harikumaran, Jayakrishnan; Sala, Giacomo; Degano, Michele; Buticchi, Giampaolo; Gerada, Christopher
Authors
Jayakrishnan Harikumaran
Giacomo Sala
Professor MICHELE DEGANO Michele.Degano@nottingham.ac.uk
PROFESSOR OF ADVANCED ELECTRICAL MACHINES
Giampaolo Buticchi
Professor CHRISTOPHER GERADA CHRIS.GERADA@NOTTINGHAM.AC.UK
PROFESSOR OF ELECTRICAL MACHINES
Abstract
Multiphase machines give the possibility to increase the torque injecting and controlling current harmonics of different orders. This work investigates the current harmonic injection techniques for both isotropic and anisotropic machines. The proposed analysis shows that for anisotropic machines, both amplitudes and angles of the optimal current injection should not be predicted based on the back electromotive force only. An analytical model is used to assess the differences in terms of no load and load voltage spectra. Considering these differences, a current injection technique based on the harmonic content of the voltage waveforms is proposed. In addition, the analysis to determine the optimum amplitudes and angles to maximize the torque capability is carried out by means of finite-element analysis (FEA) and compared with the techniques based on the analytical model. The FEA is carried out for both surface permanent magnet and V-shaped interior permanent magnet (IPM) machines with dual-three-phase winding layouts and injecting the fifth harmonic of current. Finally, the proposed concept is validated via an experimental test on a dual-three-phase V-shaped IPM machine. The results show that current harmonic injection based on the voltage vectors is applicable for both isotropic and anisotropic machines with good accuracy.
Citation
De Gaetano, D. D., Harikumaran, J., Sala, G., Degano, M., Buticchi, G., & Gerada, C. (2022). On Torque Improvement by Current Harmonic Injection in Isotropic and Anisotropic Multiphase Machines. IEEE Journal of Emerging and Selected Topics in Industrial Electronics, 3(3), 845-853. https://doi.org/10.1109/JESTIE.2021.3105337
Journal Article Type | Article |
---|---|
Acceptance Date | Aug 18, 2021 |
Online Publication Date | Aug 18, 2021 |
Publication Date | 2022-07 |
Deposit Date | Nov 19, 2024 |
Journal | IEEE Journal of Emerging and Selected Topics in Industrial Electronics |
Print ISSN | 2687-9735 |
Electronic ISSN | 2687-9743 |
Publisher | Institute of Electrical and Electronics Engineers |
Peer Reviewed | Peer Reviewed |
Volume | 3 |
Issue | 3 |
Pages | 845-853 |
DOI | https://doi.org/10.1109/JESTIE.2021.3105337 |
Keywords | General Medicine |
Public URL | https://nottingham-repository.worktribe.com/output/8857202 |
Publisher URL | https://ieeexplore.ieee.org/document/9516904 |
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