scholarly journals Composite control for disturbed direct-driven surface-mounted permanent magnet synchronous generator with model prediction strategy

2021 ◽  
pp. 002029402110108
Author(s):  
Hong-Jun Shi ◽  
Xu-Chen Nie

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.

Author(s):  
Mario Andrés Aguilar-Orduña ◽  
Hebertt José Sira-Ramírez

With sight on maximizing the amount of energy that can be extracted, by a wind turbine, from the wind, this article solves the maximum power point tracking problem for a permanent magnet synchronous generator-based horizontal wind turbine connected to the electrical grid. A three-phase back-to-back converter, which allows a decoupling between the electrical grid and the generator, is employed as an interphase between the wind turbine and the utility grid. Based on the mathematical model in the synchronous reference frame and taking advantage of the differential flatness property the system exhibits, controllers based on the active disturbance rejection methodology are designed, in this work, to track the curve of maximum extracted power from the wind and manage the generated electricity into the grid. At the same time, the phase angle of the electricity generated is synchronized with the phase angle of the electrical grid. Numerical simulations are performed to support the controllers presented in this work.


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