基于模糊自适应观测器的DFIG最大风能捕获模糊终端滑模控制

A Method of Fuzzy Terminal Sliding Mode Control for DFIG Maximal Wind Energy Caprure Based on Fuzzy Adaptive Observer

以双馈风力发电机(DFIG)为研究对象,基于两相同步旋转坐标系下DFIG的数学模型,设计模糊自适应观测器对DFIG的转子角速度进行实时观测。解决了比例+积分自适应律中采用固定增益影响观测效果的问题,省去了测速装置。根据最大风能捕获原理设计转速控制器。为提高系统的鲁棒性和控制精度,对解耦后的DFIG转子模型采用模糊终端滑模方法进行控制,有效地抑制系统的抖振现象,并在有限时间内实现无静差跟踪,也确保了观测值的准确性。仿真结果验证了该方法有效性。

Taking Doubly-fed Induction Generator （DFIG） as the research object, and aiming at the mathematical model of DFIG in two-phase synchronous rotating coordinate system, a fuzzy adaptive observer is designed to observe the speed of DFIG in time. The problem is solved, in which the effect of observation is influenced by the fixed gain used in proportion and integration adaptive law. The observer can observe rotor speed of the DFIG at real time, and then the speed measuring device can be saved. In order to improve the robustness and control precision of the system, the speed controller is designed according to the principle of maximum wind energy capture. A method of fuzzy terminal sliding mode is used to control the decoupled rotor model of DFIG, which can restrain the system chattering phenomenon effectively, realize tracking without steady-state error in a limited period and ensure the accuracy of the observation. The results of simulation show the validity of the proposed method.