基于数据的风能转换系统自适应控制

The Data-Based Adaptive Control for Wind Energy Conversion System

为了解决风能转换系统的建模困难问题,实现额定风速以下风能捕获率的最大化,根据数据驱动控制理论,在风能转换系统中采用基于数据的自适应控制方法。将风能转换系统用时变动态线性系统合理代替,利用风能转换系统的输入输出数据,通过投影估计算法获取动态线性系统的拟梯度向量,在线调整参与设计出自适应控制器。仿真结果表明采用基于数据的自适应控制方法能够有效地实现额定风速以下风能转换系统的最大风能捕获。

The data-based adaptive control was adopted in wind energy conversion systems based on data-driven control theory to deal with the difficulties in modeling of wind energy conversion system and maximize the wind energy capture ratio below the rated wind speed. A dynamic time-varying linear system was used to reasonably replace the wind energy conversion system. And the gradient-like vector of it can be obtained through the projection estimation algorithm by using input and output data of the wind energy conversion system, which is adjusted on-line to design the adaptive controller. Simulation results indicate that below the rated wind, the data-based adaptive control can effectively implement maximum energy capture.