In this study, proportional valve-controlled semi-rotary electrohydraulic actuator proposed for horizontal axis wind turbine pitch movement. Semi-rotary actuator can be connected directly to the wind turbine blade, which reduces mechanical complexity compare to linear electrohydraulic actuator system. Adaptive torque control scheme has been adopted for the horizontal axis wind turbine in region II; however, adaptive pitch control has been adopted for region III. Optimum pitch demand and torque demand have been estimated through blade element momentum theory based on predicted wind speed. The control objective is to track maximum power through torque control in region II and to maintain rated power with structural safety by limiting thrust force in the region III. The proposed wind turbine model has been validated with 1.5-MW wind turbine experimental data. Feedforward fractional-order proportional–integral–derivative controller with adaptive teaching–learning based optimization algorithm has been developed for wind turbine control application. In region II, feedforward control signal generates due to torque demand and feedback control signal generates due to combined torque and pitch error. However, in region III, feedforward and feedback control estimated with pitch demand and combined pitch and torque error, respectively. The proposed controller performance has been tested with sinusoidal, step and actual wind data. The controller performance also compared with respect to other conventional controllers. Performance of the adaptive teaching–learning-based optimization has been compared with genetic algorithm and teaching–learning-based optimization process. Sensitivity analysis has been performed with proposed controller to check the effectiveness of the optimization. Furthermore, the proposed controller response has been compared with existing data of 1.5-MW wind turbine. Lyapunov-based stability analysis has been performed to ensure stability and convergence of the proposed system. Proposed controller performance has been found better compare to the existing result.

在这项研究中，提出了用于水平轴风力涡轮机俯仰运动的比例阀控制的半旋转电液执行器。半旋转执行器可以直接连接到风力涡轮机叶片，与线性电液执行器系统相比，降低了机械复杂性。Ⅱ区水平轴风力机采用自适应转矩控制方案；然而，区域 III 已经采用了自适应俯仰控制。最佳桨距需求和扭矩需求已通过基于预测风速的叶片元件动量理论进行估计。控制目标是通过区域 II 中的扭矩控制来跟踪最大功率，并通过限制区域 III 中的推力来保持额定功率和结构安全。所提出的风力涡轮机模型已通过 1 验证。5 兆瓦风力涡轮机实验数据。前馈分数阶比例-积分-微分控制器具有基于自适应教学-学习的优化算法，已被开发用于风力涡轮机控制应用。在区域 II 中，前馈控制信号由于扭矩需求而产生，反馈控制信号由于扭矩和桨距误差的组合而产生。然而，在区域 III 中，前馈和反馈控制分别用俯仰需求和组合俯仰和扭矩误差估计。所提出的控制器性能已经用正弦、阶跃和实际风数据进行了测试。控制器性能也与其他传统控制器进行了比较。将自适应教学优化的性能与遗传算法和基于教学的优化过程进行了比较。已经使用建议的控制器进行了灵敏度分析，以检查优化的有效性。此外，建议的控制器响应已与 1.5 兆瓦风力涡轮机的现有数据进行了比较。已经进行了基于李雅普诺夫的稳定性分析，以确保所提出系统的稳定性和收敛性。与现有结果相比，已发现建议的控制器性能更好。