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ORIGINAL RESEARCH article

Front. Energy Res.

Sec. Wind Energy

Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1576498

This article is part of the Research TopicAdvancing Wind Energy: Modelling, Control, and Optimization of Wind TurbinesView all 3 articles

Adaptive Active Global Fast Terminal Fault-Tolerant MPPT Control for Wind Power Generation System under Partial Loss of Actuator Effectiveness

Provisionally accepted
Jun  LiuJun LiuChenKai  MaChenKai Ma*Jiachen  XiaJiachen XiaWenao  CaoWenao Cao
  • Xi'an University of Technology, Xi'an, China

The final, formatted version of the article will be published soon.

In view of the influence of partial failure of actuator and system modeling error on the operation of the wind power system, a global fast terminal adaptive active fault-tolerant control strategy (GFTAFTC) is proposed. A dynamic model of angular velocity tracking of wind power generation system based on generalized disturbance is constructed, and the amplitude of the generalized disturbance boundary is estimated online through the design of adaptive law, and the actuator failure of the system is dynamically compensated. The global fast terminal sliding mode control is introduced to speed up the transition process of fault compensation. The first-order integration operator is used to further reduce the chattering, so as to smooth the torque and improve the performance of the system. In addition, the Lyapunov method is used to prove the global stability of the maximum wind energy tracking control system for wind power generation based on GFTAFTC. Finally, the simulation results are compared with the other four methods, verify that the GFTAFTC strategy can maintain good MPPT tracking performance in the failure state of the system actuator, and exhibits a certain degree of robustness and adaptability.

Keywords: Maximum power point tracking, Actuators fault, Adaptive control, Global fast terminal sliding mode, Active fault-tolerant control Frontiers

Received: 14 Feb 2025; Accepted: 23 Jul 2025.

Copyright: © 2025 Liu, Ma, Xia and Cao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: ChenKai Ma, Xi'an University of Technology, Xi'an, China

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