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Direct Torque and Predictive Control Strategies in Nine-Phase Electric Drives Using Virtual Voltage Vectors.

Authors :
Garcia-Entrambasaguas, Paula
Zoric, Ivan
Gonzalez-Prieto, Ignacio
Duran, Mario J.
Levi, Emil
Source :
IEEE Transactions on Power Electronics. Dec2019, Vol. 34 Issue 12, p12106-12119. 14p.
Publication Year :
2019

Abstract

One of the main distinctive features of multiphase machines is the appearance of new degrees of freedom (${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ voltages/currents) that do not exist in their three-phase counterparts. As a direct consequence, control approaches that apply a single switching state during the sampling period cannot achieve zero average ${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ voltage production. In direct torque control (DTC) this implies that ${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ currents are not regulated, whereas in finite-control-set model predictive control (FCS-MPC) an enhanced ${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ current regulation is feasible only at the expense of disturbing the flux/torque production. Aiming to avoid these shortcomings, this work makes use of the concept of synthetic/virtual voltage vectors (VVs) to nullify/limit the ${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ voltage production in order to improve the current regulation in the secondary planes. Two strategies using two and four virtual voltage vectors (2-VV and 4-VV, respectively) are proposed and compared with the standard case that applies a single switching state. Since standard MPC has the capability to indirectly regulate ${\boldsymbol{x}}$ – ${\boldsymbol{y}}$ currents, the improvements with the inclusion of VVs are expected to be more significant in DTC strategies. Experimental results validate the proposed VVs and confirm the expectations through a detailed performance comparison of standard, 2-VV and 4-VV approaches for DTC and MPC strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858993
Volume :
34
Issue :
12
Database :
Academic Search Index
Journal :
IEEE Transactions on Power Electronics
Publication Type :
Academic Journal
Accession number :
138593163
Full Text :
https://doi.org/10.1109/TPEL.2019.2907194