基于模糊神经网络的水力机组模型辨识

A Turbine Identification Model Based on Fuzzy Neural Network

根据水力机组可分段线性化的特性 ,提出了水力机组简易模糊语言模型 .在此基础上 ,将反馈控制思想引入系统辨识 ,同时结合神经网络的易学习特点给出了基于模糊神经网络的水力机组模型结构及其算法 .最后将所建模型运用于灯泡贯流式机组的在线预测 .试验结果表明 ,该模型在线修正工作量小 ,并能迅速地、较为准确地逼近实际系统的输出 。

A simple turbine fuzzy model is presented,accordingly,an identification model with compensating inputs by applying the principle of error feedback in fuzzy neural network is put forward.The prediction model of bulb turbine is built with the network.The simulation results show that the present network possesses the advantages of high speed of convergence and high precision.