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Entrambasaguas, PG, Zoric, I, Gonzalez-Prieto, I, Duran, MJ and Levi, E (2019) Direct Torque and Predictive Control Strategies in Nine-phase Electric Drives Using Virtual Voltage Vectors. IEEE Transactions on Power Electronics. ISSN 0885-8993
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IEEETPEL2019-IgnacioMario.pdf - Accepted Version Download (2MB) | Preview |
Abstract
One of the main distinctive features of multiphase machines is the appearance of new degrees of freedom ( - 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 - voltage production. In direct torque control (DTC) this implies that - currents are not regulated, whereas in finite-control-set model predictive control (FCS-MPC) an enhanced - 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 - 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 - 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.
| Item Type: | Article |
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| Uncontrolled Keywords: | 0906 Electrical and Electronic Engineering |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering |
| Divisions: | Electronics & Electrical Engineering (merged with Engineering 10 Aug 20) |
| Publisher: | IEEE |
| Date Deposited: | 22 Mar 2019 12:28 |
| Last Modified: | 04 Sep 2021 09:35 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/10386 |
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