A Lookup Table Model Predictive Direct Torque Control of Permanent-Magnet Synchronous Generator Based on Vienna Rectifier

This paper presents the development and implementation of a lookup table model predictive direct torque control (LUT-MPDTC) for a permanent-magnet synchronous generator controlled using a Vienna rectifier. Using a machine model in the stator synchronous reference frame, the feasibility of direct tor...

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Bibliographic Details
Published in:IEEE journal of emerging and selected topics in power electronics 2020-06, Vol.8 (2), p.1208-1222
Main Authors: Yip, Sook Yee, Che, Hang Seng, Tan, Chee Pin, Chong, Wen Tong
Format: Article
Language:English
Subjects:
Computational modeling
Computer simulation
Direct torque control (DTC)
finite-set model predictive control (MPC)
Lookup tables
Mathematical model
Permanent magnets
permanent-magnet synchronous generator (PMSG)
Power electronics
Predictive control
Rectifiers
Stators
Switches
Table lookup
Torque
Vienna rectifier
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Summary:This paper presents the development and implementation of a lookup table model predictive direct torque control (LUT-MPDTC) for a permanent-magnet synchronous generator controlled using a Vienna rectifier. Using a machine model in the stator synchronous reference frame, the feasibility of direct torque control-based model predictive control for the Vienna rectifier is demonstrated. To reduce the computational burden of the MPDTC, a lookup table (LUT) is proposed based on the stator current position and dc-link voltages. The LUT simplifies the complexity of the MPDTC by reducing the number of switching vectors from eight to five, while maintaining the stabilization of the neutral point voltage. The performance and effectiveness of the proposed method are evaluated via MATLAB/Simulink and further validated experimentally using a Texas Instrument-based TMS320F28335 development board. The simulation and experimental results show that the proposed LUT-MPDTC can successfully improve the torque and stator flux ripples as compared to the classical DTC.
ISSN:2168-6777
2168-6785
DOI:10.1109/JESTPE.2019.2900917