journal article·2017-05-01Open access

A model predictive current control of flux-switching permanent magnet machines for torque ripple minimization

Wentao Huang, Wei Hua, Feng Yu

AIP Advances· Volume 7· Issue 5

Abstract

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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Research context

OpenAlex topics: Electric Motor Design and Analysis · Multilevel Inverters and Converters · Sensorless Control of Electric Motors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Southeast University 1 School of Electrical Engineering, , Nanjing, 210096 China

Nantong University 2 Department of Electrical Engineering, , Nantong, 226019 China

Funding

Ministry of Education of the People's Republic of China · National Natural Science Foundation of China · Ministry of Science and Technology of the People's Republic of China

References (10)

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