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<p>This research develops a robust fixed-time backstepping controller with fixed time-convergent disturbance estimation for doubly-fed induction generator-based wind turbines, aimed at optimizing power extraction and reducing electrical losses. Novel disturbance observers estimate in real time a consolidated term representing both system uncertainties and external disturbances. Fixed-time stability of the closed-loop system is ensured via Lyapunov theory. Evaluated under severe conditions—including significant uncertainties, measurement noise, and external disturbances—the proposed approach demonstrates faster convergence, improved tracking accuracy, and enhanced disturbance rejection in simulations. Quantitative comparisons based on the integral of absolute error, integral of squared error, maximum overshoot, maximum tracking error, and settling time of key controlled variables further highlight the superiority and efficiency of the proposed controller compared to a relevant reference control approach.</p>

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Enhanced Robust Backstepping Control for Wind Energy Systems with Fixed-Time Disturbance Observer

  • 期刊论文

  • 发表日期：

    2026年5月22日

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  • S. Boudjemia,
  • A. Boulkroune,
  • N. Bounar

摘要

This research develops a robust fixed-time backstepping controller with fixed time-convergent disturbance estimation for doubly-fed induction generator-based wind turbines, aimed at optimizing power extraction and reducing electrical losses. Novel disturbance observers estimate in real time a consolidated term representing both system uncertainties and external disturbances. Fixed-time stability of the closed-loop system is ensured via Lyapunov theory. Evaluated under severe conditions—including significant uncertainties, measurement noise, and external disturbances—the proposed approach demonstrates faster convergence, improved tracking accuracy, and enhanced disturbance rejection in simulations. Quantitative comparisons based on the integral of absolute error, integral of squared error, maximum overshoot, maximum tracking error, and settling time of key controlled variables further highlight the superiority and efficiency of the proposed controller compared to a relevant reference control approach.