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Composite control for disturbed direct-driven surface-mounted permanent magnet synchronous generator with model prediction strategy
Author(s) -
Hongjun Shi,
Xuchen Nie
Publication year - 2021
Publication title -
measurement and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.286
H-Index - 21
eISSN - 2051-8730
pISSN - 0020-2940
DOI - 10.1177/00202940211010829
Subject(s) - control theory (sociology) , controller (irrigation) , permanent magnet synchronous generator , internal model , active disturbance rejection control , computer science , control engineering , disturbance (geology) , model predictive control , electronic speed control , permanent magnet synchronous motor , current loop , generator (circuit theory) , power (physics) , magnet , engineering , current (fluid) , control (management) , state observer , nonlinear system , artificial intelligence , physics , paleontology , electrical engineering , quantum mechanics , agronomy , mechanical engineering , biology
In order to obtain the best power in the wind energy conversion system (WECS) of the direct-driven surface-mounted permanent magnet synchronous generator (SPMSG), active disturbance rejection control (ADRC) is introduced to track the motor speed in real time. The control algorithm provides a new design concept and an inherent robust controller component that requires very little system information. Aiming at the problem of system parameter mutation caused by internal factors and external environment changes, an adaptive controller with multi parameter identification is designed, and the disturbance caused by parameter changes is compensated in real time. The model predictive current control (MPC) technology for the sudden change of external environment is designed to accelerate the response speed of the current loop, so as to weaken the estimation of the current disturbance by the active disturbance rejection controller, and make the speed estimation more accurate. Simulation results show that the proposed control strategy is effective and satisfactory.

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