风力辅助提水机神经滑模变结构控制方法

The Neural Sliding Mode Variable Structure Control Strategy for Wind Power Aided Pumping Water Machine

针对风力辅助提水机,在风速随机变化的情况下,柴油机控制水泵转速恒定问题,建立了系统仿射非线性T-S模型。基于RBF(径向基)神经网络滑模变结构方法,设计了系统水泵速度跟踪控制器,保证水泵额定转速运行的同时,实现风能的最大功率跟踪,充分利用风能。计算机仿真结果验证了提出的控制策略可行性,这为以后进一步研究奠定了基础。

Under the condition of random variation in wind speed, for the constant pump speed control problem of wind power aided pumping water machine by the diesel engine, a T-S affine nonlinear system model is established. Based on the RBF neural network sliding mode variable structure method, the water pump speed tracking controller is designed. The rated speed running of the pump is guaranteed, at the same time, the maximum power tracking of wind energy is completed, so as to make full use of the wind power. Finally, the validity of the proposed control strategy is revealed via computer simulations, which lays a foundation for further study.