Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/151884
Title: A simplified deadbeat based predictive torque control for three-level simplified neutral point clamped inverter fed IPMSM drives using svm
Authors: Zhang, Xinan
Foo, Gilbert Hock Beng
Jiao, Tong
Ngo, Tung
Lee, Christopher Ho Tin
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Zhang, X., Foo, G. H. B., Jiao, T., Ngo, T. & Lee, C. H. T. (2019). A simplified deadbeat based predictive torque control for three-level simplified neutral point clamped inverter fed IPMSM drives using svm. IEEE Transactions On Energy Conversion, 34(4), 1906-1916. https://dx.doi.org/10.1109/TEC.2019.2933465
Project: M4082085.040
MOE2017-T1-002-112
Journal: IEEE Transactions on Energy Conversion
Abstract: This paper proposes a simplified deadbeat based predictive torque control (DB-PTC) for interior permanent magnet synchronous machine (IPMSM) drives using space vector modulation (SVM). The proposed DB-PTC is implemented in stationary reference frame, which simplifies the design. It contributes to greatly diminish the torque and flux ripples by using SVM and predictions. Low computational complexity is achieved since iterative optimization is not needed in the proposed method. Moreover, one cycle delay is compensated through predictions. In addition, to further reduce the torque and flux ripples, three-level simplified neutral point clamped inverter (3L-SNPCI) is employed. It features fewer switching devices and less DC-link capacitor voltage imbalance problem compared to the other types of three-level inverters. A novel SVM scheme is proposed to fully exploit the advantages of this inverter while ensuring smooth voltage vector transition. Experimental results are provided to verify the validity of the proposed method.
URI: https://hdl.handle.net/10356/151884
ISSN: 0885-8969
DOI: 10.1109/TEC.2019.2933465
Rights: © 2019 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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