基于灰色动态预测的风力发电系统容错控制策略研究

摘要

A novel fault-tolerant control strategy for wind energy conversion system is proposed. Grey prediction model is introduced to diagnose the sensor fault. The Takagi-Sugeno (T-S) is adopted for modeling the wind energy conversion system and establishing fuzzy state feedback controller. When one of the sensors is failed, control action of the failed circuit is averagely shared by the remaining state feedback circuits, thus state feedback control-law is reconfigured. Experimental results show that when a sensor is failed, the system power coefficient and tip speed ratio can be still maintained at the optimal value under the rated wind speed, and the maximum wind energy capture could be realized.%提出了一种新型的风力发电系统的主动容错控制策略。引入灰色动态预测模型，对传感器故障进行预测。基于风力发电系统模糊模型，设计容错控制器，利用邻近两状态反馈回路补偿失效回路的系统重构方法，重新确定系统反馈控制律。仿真结果表明在额定风速以下，传感器发生故障时系统的功率系数和叶尖速比均能保持在最优值，从而实现额定风速以下的最大风能捕获。