This paper proposes a Finite Control Set-Model Predictive Control (FCS-MPC)for a dual-fed common dc-link Open-End Winding Permanent Magnet Synchronous Motor (OEW-PMSM). The common dc-link configuration significantly simplifies and reduces the costs of the topology but allows the Zero-Sequence Current (ZSC)to flow freely in the system. The Zero-Sequence Voltage (ZSV)produced by the two two-level Voltage Source Converters (VSCs)and the non-sinusoidal machine back-electro magnetic force (back-EMF)are responsible for the flow of additional current and the reduction of the overall system efficiency. The FCS-MPC is considered for the first time in this application as a simple solution to achieve both machine control and the ZSC suppression simultaneously. The main drawback of the FCS-MPC is the high amount of calculation necessary, here a different formulation of the FCS-MPC is proposed to significantly reduce the computational effort required. © 2019 IEEE.

Finite control set-model predictive control for the dual fed common dc-link open-end winding pmsm drive

Zanchetta P.
2019-01-01

Abstract

This paper proposes a Finite Control Set-Model Predictive Control (FCS-MPC)for a dual-fed common dc-link Open-End Winding Permanent Magnet Synchronous Motor (OEW-PMSM). The common dc-link configuration significantly simplifies and reduces the costs of the topology but allows the Zero-Sequence Current (ZSC)to flow freely in the system. The Zero-Sequence Voltage (ZSV)produced by the two two-level Voltage Source Converters (VSCs)and the non-sinusoidal machine back-electro magnetic force (back-EMF)are responsible for the flow of additional current and the reduction of the overall system efficiency. The FCS-MPC is considered for the first time in this application as a simple solution to achieve both machine control and the ZSC suppression simultaneously. The main drawback of the FCS-MPC is the high amount of calculation necessary, here a different formulation of the FCS-MPC is proposed to significantly reduce the computational effort required. © 2019 IEEE.
2019
9781538693490
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1372901
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