| Citation: | LIU X，WANG Z Y，WANG X Y. Optimization three-vector-based model predictive current control for permanent magnet toroidal motor[J]. Journal of Beijing University of Aeronautics and Astronautics，2024，50（11）：3297-3309 （in Chinese） doi: 10.13700/j.bh.1001-5965.2022.0833
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To improve the steady-state output performance of permanent magnet toroidal motor system with traditional predictive current control, the optimization three-vector-based model predictive current control (OTV-MPCC) strategy for toroidal motor was studied in this paper. A mathematical model of a toroidal motor with time-varying parameters was created in a rotating coordinate system, based on the structural principle of a toroidal motor. The influence of structural parameters on output was analyzed for toroidal motor. For toroidal motor system with time-varying parameters, the OTV-MPCC strategy was adopted. Three voltage vectors were applied in one sampling period. In the meantime, the current prediction iteration is decreased by selecting the second optimal voltage vector through a traversal of five groups of three vector combinations. Three strategies for toroidal motors were simulated and compared: the OTV-MPCC approach, the duty ratio model predictive current control (DR-MPCC) strategy, and the two-vector-based model predictive current control (TV-MPCC) method. The research results show that OTV-MPCC strategy can reduce current and torque ripple for toroidal motor effectively, and it can improve steady-state output performance.
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