Two-vector Dimensionless Model Predictive Control of PMSM Drives Based on Fuzzy Decision Making
نویسندگان
چکیده
Model predictive controls (MPCs) with the merits of non-linear multi-variable control can achieve better performance than other commonly used methods for permanent magnet synchronous motor (PMSM) drives. However, conventional MPCs have various issues, including unsatisfactory steady-state performance, variable switching frequency, and difficult selection appropriate weighting factors. This paper proposes two different improved MPC to deal these issues. One method is two-vector dimensionless model torque (MPTC). Two cost functions (torque flux) fuzzy decision-making are eliminate factor select first optimum vector. The function selects a second vector whose duty cycle determined based on error. current (MPCC). selected same as in method. separate Both proposed utilize space PWM modulator regulate frequency. Numerical simulation results show that transient performances existing MPCs.
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ژورنال
عنوان ژورنال: CES transactions on electrical machines and systems
سال: 2022
ISSN: ['2096-3564']
DOI: https://doi.org/10.30941/cestems.2022.00051