A model predictive current control of flux-switching permanent magnet machines for torque ripple minimization
Source abstract
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)
Show source-provided references
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