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Application of Adaptive Fuzzy Control in the Variable Speed Wind Turbines

机译:自适应模糊控制在变速风力发电机组中的应用

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In order to maximize energy capturing in wind turbines, the wind turbine generator needs to tune the speed of the wind turbine according to the wind. As it is obvious from the literatures, conventional controllers have low efficiency to obtain the better dynamic quality and robustness based on the mathematic models due to uncertainty of wind speed and wind direction. In this paper, an adaptive fuzzy controller is proposed for the variable speed wind power system with uncertain model parameters and force disturbances. The control scheme is based on indirect adaptive fuzzy method using feedback linearization. The uncertainties are approximated by a fuzzy approximator and an adaptive law improves the approximation. The stability of the proposed controller is proved using lyapunov method. Simulation results indicate that the strong robustness and better tracking performance can be achieved rather than a conventional PI controller.
机译:为了使风力涡轮机中的能量捕获最大化,风力涡轮发电机需要根据风来调整风力涡轮机的速度。从文献中显而易见的是,由于风速和风向的不确定性,常规控制器基于数学模型的效率较低,无法获得更好的动态质量和鲁棒性。本文针对模型参数不确定,受力干扰的变速风力发电系统,提出了一种自适应模糊控制器。该控制方案基于使用反馈线性化的间接自适应模糊方法。通过模糊近似器对不确定性进行近似,并且自适应律改善了近似性。利用lyapunov方法证明了所提出控制器的稳定性。仿真结果表明,与传统的PI控制器相比,可以实现强大的鲁棒性和更好的跟踪性能。

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