基于模糊逻辑的变速双馈风力发电系统级联滑模鲁棒控制

Robust Cascaded Sliding-Mode Control Based on Fuzzy-Logic for Variable Speed DFIG Wind Turbines

提出一种结合模糊逻辑与滑模变结构技术的新型风力发电系统鲁棒控制方法,采用级联的风力机滑模控制器和发电机滑模控制器,并利用模糊逻辑实现滑模切换增益的自适应调节。该方法能在定、转子电阻等系统参数具有不确定性的情况下,分别实现对参考转子磁链和转矩的良好控制及对最佳叶片转速的鲁棒跟踪,从而获得在额定发电功率内的最大风能追踪。仿真结果表明,相比较常规的反馈线性化技术,该方法在有参数变化时具有更好的控制性能,鲁棒性更强,具有更高的风能利用率。

A fuzzy-logic-based sliding mode controller is proposed for wind energy conversion system with a variable speed DFIG.The controller is composed of the wind turbine sliding-mode controller and the DFIG sliding-mode controller.The turbine controller is used to achieve a robust tracking of the optimal blade rotor speed to optimize the wind energy capturing,and the DFIG controller is applied to ensure a robust tracking of both the generator torque and the rotor flux.The switching gains of the sliding modes are adapted based on the fuzzy interference system.The global controller is tested and validated on a flexible wind turbine simulator,and the results show that the proposed scheme has better performance and higher wind-energy-utilization ratio than the conventional feeback linearization method in presence of parameter variations.