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<p>Modular multilevel matrix converter (M3C) can be applied to offshore wind power transmission. However, in the case of grid power adjustment, there are a variety of perturbations in the control system. With traditional control methods, it is difficult to achieve the non-differential tracking, and both the dynamic performance and anti-disturbance capability are poor. In this paper, an M3C control strategy based on fuzzy linear active disturbance rejection control is proposed. The topology of M3C is analyzed and a mathematical model is established. Then, a linear active disturbance rejection control (LADRC) inner-loop controller is designed according to the derivation of the LADRC. To further improve the control effect of the LADRC controller, an FLADRC controller is designed by dynamically adjusting the LADRC controller parameters using fuzzy logic. Finally, an M3C transmission system simulation model based on MATLAB/Simulink and an M3C experimental platform are constructed, and the designed controller is verified to be superior to the LADRC controller in terms of static performance, response speed, anti-interference capability and adaptive ability in both steady state and dynamic cases.</p>

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M3C control strategy based on fuzzy linear active disturbance rejection control

  • 期刊论文

  • 发表日期：

    2025年9月17日

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  • Xinghe Ma,
  • Shuai Guo,
  • Yue Pan

摘要

Modular multilevel matrix converter (M3C) can be applied to offshore wind power transmission. However, in the case of grid power adjustment, there are a variety of perturbations in the control system. With traditional control methods, it is difficult to achieve the non-differential tracking, and both the dynamic performance and anti-disturbance capability are poor. In this paper, an M3C control strategy based on fuzzy linear active disturbance rejection control is proposed. The topology of M3C is analyzed and a mathematical model is established. Then, a linear active disturbance rejection control (LADRC) inner-loop controller is designed according to the derivation of the LADRC. To further improve the control effect of the LADRC controller, an FLADRC controller is designed by dynamically adjusting the LADRC controller parameters using fuzzy logic. Finally, an M3C transmission system simulation model based on MATLAB/Simulink and an M3C experimental platform are constructed, and the designed controller is verified to be superior to the LADRC controller in terms of static performance, response speed, anti-interference capability and adaptive ability in both steady state and dynamic cases.