Pitch angle control strategy has been applied to mitigate the influence of mechanical load and also output power control at above-rated wind speeds. In this paper, a wind turbine is modeled based on simplified two-mass model and an adaptive fractional-order non-singular fast terminal sliding mode controller (AFO-NFTSMC) is proposed based on individual pitch control strategy to control pitch angle of wind turbine against uncertainties and external disturbances. To do this, the single-blade approach is used and the wind turbine is divided into aerodynamics and mechanical subsystems and governing equations of each subsystem are derived. By designing and applying the AFO-NFTSMC to the two-mass model, system behavior is observed and simulated in terms of step and turbulent wind speed inputs. In addition, to verify the validity of the AFO-NFTSMC, the proposed controller is implemented in the FAST environment in which the wind speed profiles are generated using TurbSim. In order to analyze the environmental effects on the dynamic behavior of the system, the controller performance is explored in presence of parametric uncertainties. Simulation results reveal the priority and high-precision performance of the controller compared to conventional adaptive and adaptive sliding mode controller. Moreover, rotor speed tracking error is evaluated and demonstrated through different criteria.

桨距角控制策略已被应用，以减轻机械负载的影响，并在高于额定风速的情况下控制输出功率。本文基于简化的两质量模型对风力发电机组进行建模，并提出了一种基于单个桨距控制策略的自适应分数阶非奇异快速终端滑模控制器（AFO-NFTSMC），以控制风力发电机的桨距角。应对不确定性和外部干扰。为此，使用单叶片方法，并将风力涡轮机分为空气动力学和机械子系统，并推导每个子系统的控制方程。通过将AFO-NFTSMC设计并应用到两质量模型中，可以观察到系统行为并根据阶跃和湍流风速输入进行仿真。另外，要验证AFO-NFTSMC的有效性，建议的控制器在FAST环境中实现，在该环境中使用TurbSim生成风速曲线。为了分析环境对系统动态行为的影响，在存在参数不确定性的情况下探索了控制器的性能。仿真结果表明，与传统的自适应和自适应滑模控制器相比，该控制器具有更高的优先级和高精度性能。此外，通过不同的标准评估并证明了转子速度跟踪误差。仿真结果表明，与传统的自适应和自适应滑模控制器相比，该控制器具有更高的优先级和高精度性能。此外，通过不同的标准评估并证明了转子速度跟踪误差。仿真结果表明，与传统的自适应和自适应滑模控制器相比，该控制器具有更高的优先级和高精度性能。此外，通过不同的标准评估并证明了转子速度跟踪误差。