Open AccessVirtual-Vector-Based FCS Model Predictive Current Control with Duty Cycle Optimization for Dual Three-Phase Motors
Author(s) -
Shuai He,
Yaoheng Li,
Zhibin Shuai,
Ying Zhang,
Jiangtao Gai,
Zhou Guang-ming
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1754/1/012083
Subject(s) - duty cycle , model predictive control , inverter , control theory (sociology) , computer science , dual (grammatical number) , vector control , current (fluid) , harmonic , controller (irrigation) , voltage , engineering , control engineering , control (management) , induction motor , artificial intelligence , art , agronomy , physics , literature , quantum mechanics , electrical engineering , biology
This paper presents an improved finite control set model predictive current control (FCS-MPCC) based on virtual vectors with duty cycle control for dual three-phase permanent magnet synchronous motor (DTP PMSM) drives. Virtual vectors synthesized by two basic voltage vectors of the inverter are introduced to suppress the harmonic current by the vector space decomposition (VSD) model. And the virtual vectors with the optimal duty cycle can be obtained by duty cycle control using zero vectors to generate a fixed switching frequency. Moreover, a simple scheme of centrosymmetric switching patterns is presented for the realtime implementation. In this way, the performance of current tracking is improved while the computational burden is reduced. Finally, results of simulation analysis and DSP test for the three different strategies are given to verify the validity of the proposed strategy.