首页> 外文期刊>Journal of control, automation and electrical systems >Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance
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Intelligent Sliding Mode Adaptive Controller Design for Wind Turbine Pitch Control System Using PSO-SVM in Presence of Disturbance

机译:智能滑动模式自适应控制器设计,用于扰动的PSO-SVM

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Today, the generated electrical energy using renewable energy is rapidly growing all over the world. The speed and direction of the wind are fundamental parameters affecting on power production of wind turbine that is constantly changing. One of the methods for controlling wind turbine power is changing the angle of the blades. In this paper, an adaptive control method has been used to control the wind turbine pitch angle. The proposed method is based on sliding mode control, whose coefficients have been calculated using the particle swarm optimization support vector machine method. In order to evaluate the effectiveness of the proposed method, it has been compared with the Model Reference Adaptive Controller (MRAC) in the operating under disturbance. The results show that the proposed controller has a better performance than that of the MRAC in the presence of disturbance. Simulations show that the produced power at different wind velocities has reached its optimum value faster.
机译:今天,使用可再生能源的产生电能正在全世界迅速增长。风的速度和方向是影响不断变化的风力发电机的基本参数。用于控制风力涡轮机功率的方法之一正在改变叶片的角度。在本文中,采用自适应控制方法来控制风力涡轮机桨距角。所提出的方法基于滑模控制,其系数已经使用粒子群优化支持向量机方法计算。为了评估所提出的方法的有效性,它已经与在干扰的操作中的模型参考自适应控制器(MRAC)进行了比较。结果表明,该控制器在存在干扰时具有比MRAC的性能更好。模拟表明,不同风速下的产生功率已更快地达到最佳值。

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