Scholarlink

<p>Systems with fast dynamics require controllers that can handle rapid fluctuations and chattering issues. Selecting an appropriate sliding manifold is crucial for ensuring finite-time convergence and reducing chattering in nonlinear systems. This article develops a new proportional-integral-derivative (PID)-based nonsingular fast terminal second-order sliding controller (NFTSOSMC) to minimize tracking error and enhance wind power generation for variable-speed wind turbines. The proposed sliding manifold ensures finite-time convergence without singularities and effectively attenuates chattering by smoothing control signals. As a result, it limits rapid fluctuations, attenuates mechanical wear, and enhances the lifespan of the wind turbine system. The designed controller also minimizes steady-state error and enhances robustness against external disturbances. Simulation results demonstrate the effectiveness of the proposed method in maximizing wind power capture and maintaining system stability under fast wind speed variations.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Enhanced power capture for the wind turbine system via a novel second-order nonsingular fast terminal sliding mode control strategy

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月7日

查看全文
  • Arefe Shalbafian,
  • Farhad Amiri

摘要

Systems with fast dynamics require controllers that can handle rapid fluctuations and chattering issues. Selecting an appropriate sliding manifold is crucial for ensuring finite-time convergence and reducing chattering in nonlinear systems. This article develops a new proportional-integral-derivative (PID)-based nonsingular fast terminal second-order sliding controller (NFTSOSMC) to minimize tracking error and enhance wind power generation for variable-speed wind turbines. The proposed sliding manifold ensures finite-time convergence without singularities and effectively attenuates chattering by smoothing control signals. As a result, it limits rapid fluctuations, attenuates mechanical wear, and enhances the lifespan of the wind turbine system. The designed controller also minimizes steady-state error and enhances robustness against external disturbances. Simulation results demonstrate the effectiveness of the proposed method in maximizing wind power capture and maintaining system stability under fast wind speed variations.