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Adaptive pitch control design for variable speed wind turbine using chebyshev neural network

机译:基于切比雪夫神经网络的变速风力发电机自适应变桨控制设计

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This paper presents an adaptive pitch control designed for a variable speed wind turbine (VSWT). Due to nonlinear and uncertain dynamics of VSWT, the conventional controllers show unsatisfactory performance under irregularity of wind speed. The pitch control design problem in the VSWT system is very challenging if the dynamics of the system are unknown. The unknown dynamics of the VSWT has been approximated with the help of Chebyshev neural network (CNN) for the proposed control design. The weight adaptation law for the tuning of CNN is derived using Lyapunov theory. Simulation results demonstrate satisfactory performance of the proposed adaptive pitch control design scheme.
机译:本文提出了一种针对变速风力涡轮机(VSWT)设计的自适应变桨控制。由于VSWT的非线性和不确定的动力学特性,常规控制器在风速不规则的情况下表现出不令人满意的性能。如果系统的动力未知,则VSWT系统中的桨距控制设计问题将非常具有挑战性。 VSWT的未知动力学已经借助Chebyshev神经网络(CNN)进行了拟议的控制设计。利用李雅普诺夫理论推导了CNN调谐的权重自适应定律。仿真结果证明了所提出的自适应变桨控制设计方案的令人满意的性能。

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