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Model Predictive Current Control of Dual-Permanent-Magnet Vernier Motor based on Anti-Windup Controller
Author(s) -
Yushun Liu,
Tao Zhu,
Shaolei Wu,
Senlin Li,
Boyu Wu,
Zhiwen Huang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/619/1/012037
Subject(s) - vernier scale , control theory (sociology) , controller (irrigation) , torque , model predictive control , vector control , magnet , dual (grammatical number) , computer science , control system , voltage , engineering , control (management) , induction motor , physics , mechanical engineering , art , electrical engineering , literature , astronomy , artificial intelligence , agronomy , biology , thermodynamics
Dual-permanent-magnet vernier motor incorporates the merits of high torque density and low cost, suitable for low-speed high-torque applications. Due to integral saturation and high current ripples in dual-permanent-magnet vernier motor control system, a model predictive current control strategy based on Anti-Windup PI controller is proposed. Adaptive adjustment variable structure is adopted in integral segment of the controller, which can quickly eliminate integral saturation in system. Mode predictive current control based on dual vector is adopted in current interior loop of the system, double arbitrary voltage vector can be selected to operate simultaneously in each control cycle that extends selection range of voltage vector and adjustment range of amplitude, which can realize more accurate current control. Meanwhile, considering system delay, current delay compensation is added to predictive control. The simulation results showed that proposed control strategy can effectively restrain integral saturation, reduce current ripples, thus improving dynamic and steady state performance of the control system.

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