Model predictive control of direct-driven surface-mounted permanent magnet synchronous generator based on active disturbance rejection controller
Article publication date: 3 November 2021
Issue publication date: 11 January 2022
This paper aims to mainly discuss how to suppress the disturbances accurately and effectively in the wind energy conversion system (WECS) of the direct drive surface mount permanent magnet synchronous generator (SPMSG).
The disturbances in wind energy conversion system have seriously negative influence on the maximum power tracking performance. Therefore, a model predictive control (MPC) method of model compensation active disturbance rejection control (ADRC) strategy in parallel connection is designed, which optimizes the speed tracking performance compared with the existing control strategy of MPC and ADRC in series connection. Based on the traditional ADRC, a multi parameter model compensation ADRC strategy is added to better estimate the disturbances. At the same time, a torque feedback strategy is added to compensate the disturbances caused by load torque and further optimize the speed loop tracking performance.
The simulation results show that the designed control method has advantages than the traditional control method in compensating the disturbances and tracking the maximum power more effectively.
The simulation results show that the designed control method is superior to the traditional proportional control method, which can better compensate the internal and external disturbances and track the maximum power more effectively.
This work was supported by the National Natural Science Foundation of China (Grant No. 51875380); the Faculty Startup Fund for Scientific Research by Nanjing University of Aeronautics and Astronautics (Grant No. 3002-YAH19113).
Shi, H., Xiong, L., Nie, X. and Zhu, Q. (2022), "Model predictive control of direct-driven surface-mounted permanent magnet synchronous generator based on active disturbance rejection controller", Assembly Automation, Vol. 42 No. 1, pp. 19-27. https://doi.org/10.1108/AA-04-2021-0042
Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited