Open AccessA model predictive current control of flux-switching permanent magnet machines for torque ripple minimization
Author(s) -
Wentao Huang,
Wei Hua,
Feng Yu
Publication year - 2016
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/1.4973394
Subject(s) - cogging torque , control theory (sociology) , torque , magnet , torque ripple , direct torque control , compensation (psychology) , ripple , current (fluid) , computer science , engineering , physics , mechanical engineering , control (management) , electrical engineering , voltage , induction motor , psychology , artificial intelligence , psychoanalysis , thermodynamics
Due to high airgap flux density generated by magnets and the special double salient structure, the cogging torque of the flux-switching permanent magnet (FSPM) machine is considerable, which limits the further applications. Based on the model predictive current control (MPCC) and the compensation control theory, a compensating-current MPCC (CC-MPCC) scheme is proposed and implemented to counteract the dominated components in cogging torque of an existing three-phase 12/10 FSPM prototyped machine, and thus to alleviate the influence of the cogging torque and improve the smoothness of electromagnetic torque as well as speed, where a comprehensive cost function is designed to evaluate the switching states. The simulated results indicate that the proposed CC-MPCC scheme can suppress the torque ripple significantly and offer satisfactory dynamic performances by comparisons with the conventional MPCC strategy. Finally, experimental results validate both the theoretical and simulated predictions
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