摘要
对神经网络控制在水轮机调节中的应用做了理论上的分析,将基于BP神经网络的PID控制器应用于水轮机频率扰动和负荷扰动仿真实验中,结果表明其具有较好的动静态特性和较强的鲁棒性,为神经网络控制在水轮机调节中的应用打下良好的理论基础。
This paper analyzes the problems of the application of neural network control to turbine speed governorand applies the PID controller based on BP neural network control to the frequency and load disturbance experiment of the turbine. The simulation results proved that the controller possesses the better dynamic-static norm and stronger robustness. It gives the basis of the application of neural network control to the turbine speed governor.
出处
《水力发电》
北大核心
2004年第4期45-47,共3页
Water Power
