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基于定子磁链的双馈风力发电机滑模MRAS转速估计

Stator-flux-based sliding-mode MRAS speed estimation of doubly-fed wind power generator

  • 摘要: 针对双馈风力发电机工作环境恶劣,使用机械传感器进行速度和位置信号检测导致的故障率高、检修不便等问题,提出了一种基于双馈电机定子磁链的滑模MRAS转速估计器.方法是利用双馈电机定子磁链电压模型作为参考模型,利用双馈电机定子磁链电流模型作为自适应模型,利用两模型输出的叉积构造滑模面,并利用小信号模型分析了滑模存在和到达条件.同时,通过引入连续的饱和函数,解决了传统滑模观测器的高频抖动问题.最后,基于Matlab/SimuLink对提出的控制方法性能进行了验证.

     

    Abstract: Under the execrable operating environment,the mechanical sensor for detecting the position and speed signals of the doubly-fed wind power generator leads to more faults and inconvenient maintenance. To solve the problem, a stator flux-based sliding-mode model reference adaptive system (MRAS) speed estimator was proposed. In the proposed sliding-mode MRAS estimator, the stator flux voltage model of the doubly-fed wind power generator was used to obtain the reference model and its current model as the adaptive model, and a slide-mode surface was designed according to the two model output cross product, and the reaching conditions for the sliding mode were analyzed by using the small-signal model. Meanwhile the continuous saturation function is introduced to overcome the high frequency chattering problem. And the performances of the proposed control method were tested in Matlab/SimuLink.

     

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