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|Title:||Predictive torque control of three-level sparse neutral point clamped inverter fed IPMSM drives using simplified deadbeat principle||Authors:||Zhang, Xinan
|Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2019||Source:||Zhang, X., Foo, G., & Tung, N. (2019). Predictive torque control of three-level sparse neutral point clamped inverter fed IPMSM drives using simplified deadbeat principle. IOP Conference Series: Earth and Environmental Science, 322(1), 012005-. doi:10.1088/1755-1315/322/1/012005||Abstract:||This paper proposes a predictive torque control for interior permanent magnet synchronous machine (IPMSM) driven by three-level sparse neutral point clamped inverter. It contributes to greatly diminish the torque and flux ripples by using predictions and three voltage levels. To precisely synthesize the voltage vectors, deadbeat principle is employed. Different from existing works, the proposed control method is implemented in stationary reference frame, eliminating coordinate transformations. Furthermore, one cycle delay is compensated through predictions. In addition, to further reduce the torque and flux ripples, three-level sparse neutral point clamped inverter (3L-SNPCI) is employed. In comparison with other types of three-level inverters, it utilizes fewer power semiconductors and has alleviated neutral point voltage fluctuation problem. Space vector modulation is employed to generate the switching signals for the 3L-SNPCI. The validity of the proposed approach is verified by experimental results.||URI:||https://hdl.handle.net/10356/142528||DOI:||10.1088/1755-1315/322/1/012005||Rights:||© 2019 The Authors (published under licence by IOP Publishing Ltd). Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.||Fulltext Permission:||open||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Conference Papers|
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