A Computationally Efficient Model Predictive Current Control of Synchronous Reluctance Motors Based on Hysteresis Comparators

Wagner Benjamim,Antonio J Marques Cardoso,Imed Jlassi

doi:10.3390/electronics11030379

Wagner Benjamim, Antonio J Marques Cardoso + Show 1 more

Open Access

https://doi.org/10.3390/electronics11030379

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Journal: Electronics	Publication Date: Jan 27, 2022
Citations: 4	License type: CC BY 4.0

Affiliation: University of Beira Interior

Abstract

Model predictive current control (MPCC) has recently become a powerful advanced control technology in industrial drives. However, current prediction in MPCC requires a high number of voltage vectors (VVs) synthesizable by the converter, thus being computationally demanding. Accordingly, in this paper, a computationally efficient MPCC of synchronous reluctance motors (SynRMs) that reduces the number of VVs used for prediction is proposed. By making the most of the simplicity of hysteresis current control (HCC) and integrating it with the MPCC scheme, only four out of eight predictions are needed to determine the best VV, dramatically reducing algorithm computations. The experimental results show that the execution time can be shortened by 20% while maintaining the highest control efficiency.

Highlights

Synchronous reluctance motors (SynRMs) have, in recent years, attracted much attention due to their high-efficiency output and nature of their construction denoted by the lack of expensive magnetic materials, cheapening the overall cost whilst increasing in robustness
HCSCin–cMe PthCeCmain focus of this paper is to reduce the number of voltage vectors (VVs) for model predictive control (MPC), thereby reduSicnincge tthhee cmoaminpufotactuiosnoafltbhuisrdpeanp,etrhiesstaotureradtuiocne tehffeecntuomf btheer SoyfnVRVMs fiosrnMegPleCc,tetdhefroerbtyhe resdaukceinogf stihmepcloicmitpy.uTtahteiorenfaolrbe,utrhdeenst,atthoer vsaotlutargateioanndefcfuecrtreonfttehqeuSaytinoRnMs oifsthneegSlyenctReMd fionr a thseynsackheroonfosuims rpoltiactiitnyg
This paper presents a computationally efficient hysteresis current control (HCC)–Model predictive current control (MPCC) control scheme of synchronous reluctance motors (SynRMs) drives

Summary

Introduction

Synchronous reluctance motors (SynRMs) have, in recent years, attracted much attention due to their high-efficiency output and nature of their construction denoted by the lack of expensive magnetic materials, cheapening the overall cost whilst increasing in robustness. In [30], new DTC and DPC switching tables were combined with direct the MPC of a 2L-BTB-fed PMSG, significantly reducing the number of candidates from 16 to 6 VVs and requiring less computation. DTC-based MPC has been proposed in [19,31] for matrix-converter-fed PMSMs. regarding the multilevel converters, a decrease in execution time was obtained by minimizing the number of VVs in 3L-VSI through the estimation of the position and deviation of the stator flux relative to its reference [32], an analysis of the voltage reference vector [33] or, a branch-and-bound approach [34]. The proposed control algorithm was tested and validated by intensive experimental results

Proposed HCC–MPCC of the VSI

VV Selection from HCC

Results and Discussion

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Control Performance

Conclusions