Direct Model Predictive Control of Synchronous Reluctance Motor Drives

نویسندگان

چکیده

This paper investigates a finite-control set model-predictive control (FCS-MPC) algorithm to enhance the performance of synchronous reluctance machine drive. Particular emphasis is placed on definition cost function enabling computationally light implementation while targeting good transient and steady-state performance. In particular, this work proposes inclusion an integral term into ensure zero errors thus compensating for any model inaccuracies. A effort also considered in formulation achieve high ratio between sampling frequency average switching frequency. After comprehensive simulation study showing advantages proposed approach over conventional FCS-MPC wide range operating conditions, several experimental test results are reported. The effectiveness approach, including detailed analysis effect load speed variations, fully verified providing useful guidelines design direct predictive controller motor drives.

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ژورنال

عنوان ژورنال: IEEE Transactions on Industry Applications

سال: 2023

ISSN: ['1939-9367', '0093-9994']

DOI: https://doi.org/10.1109/tia.2022.3213002