基于神经网络的水轮机调节系统自抗扰控制  

ADRC of hydraulic turbine governing system based on neural network

作　　者：王涛[1] 杨晓萍[1] 余向阳[1] 南海鹏[1] 周艳[1] 

机构地区：[1]西安理工大学,西安710048

出　　处：《水力发电学报》2006年第3期125-129,共5页Journal of Hydroelectric Engineering

摘　　要：本文针对水轮机调节系统的特点,提出基于神经网络的自抗扰控制策略,并应用于水轮机调节系统的控制;文中对神经网络的训练样本、方法及其与自抗扰控制器结合的方式进行了分析和讨论,并得出了有益的结论;仿真结果表明:基于神经网络的自抗扰控制器对具有强非线性和不确定强扰动的水轮机调节系统有较强的鲁棒性。According the characteristic of the governing system, the ADRC based on the neural network is proposed and applied to the hydraulic turbine governing system. In this paper the training samples, training method of neural network and the way combined with ADRC is analyzed, and the valuable conclusion is obtained. The simulation result shows that the ADRC based on neural network has strong robustness for the hydraulic turbine governing system with serious nonlinear characteristic and unknown strong disturbance.

关 键 词：水轮机调节系统 自抗扰控制器 神经网络 非线性 

分 类 号：TK730.7[交通运输工程—轮机工程]