2020
DOI: 10.1109/tla.2020.9381808
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Optimized Current Waveform for Torque Ripple Mitigation and MTPA Operation of PMSM with Back EMF Harmonics based on Genetic Algorithm and Artificial Neural Network

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Cited by 21 publications
(24 citation statements)
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“…Genetic algorithms are stochastic based search algorithms, widely used as optimization method for solving constrained/unconstrained, nondifferentiable, discontinuous or nonlinear problems [7], [9], [10], [17], [18]. The GA algorithm is inspired on the mechanics of natural selection, the process that drives biological evolution.…”
Section: Ga Based Optimum Current Search Methods For Torque Ripple Mitigationmentioning
confidence: 99%
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“…Genetic algorithms are stochastic based search algorithms, widely used as optimization method for solving constrained/unconstrained, nondifferentiable, discontinuous or nonlinear problems [7], [9], [10], [17], [18]. The GA algorithm is inspired on the mechanics of natural selection, the process that drives biological evolution.…”
Section: Ga Based Optimum Current Search Methods For Torque Ripple Mitigationmentioning
confidence: 99%
“…For the comparison purpose, it is also considered the conventional sinusoidal current aligned to the nonsinusoidal back-EMF, which not benefits the drive with reluctance torque, denoted as zero d-axis current (ZDAC) and conventional MTPA based on sinusoidal stator current [10].…”
Section: A Numerical Investigationsmentioning
confidence: 99%
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“…The ripple reduction was performed by controlling the d-axis current only. In [21], current waveform optimization was employed along with the MTPA algorithm for ripple minimization. It has less ripple and implements optimal switching time.…”
Section: Introductionmentioning
confidence: 99%