摘要
对神经网络控制在水轮机调节中的应用进行理论分析,将基于BP神经网络的PID控制器和模型辨识神经网络应用于水轮机频率扰动仿真试验中,结果表明具有较好的动、静态特性和较强的鲁棒性,为神经网络在水轮机调速器中的应用打下理论基础。
The BP neural network-bused PID controller and the neural network for model identification were applied to frequency disturbance experiment of turbines. Theoretical analysis shows that the present method is of good dynamic-static performance and high robustness. The study provides a theoretical basis for application of neural network to turbine governors.
出处
《水利水电科技进展》
CSCD
北大核心
2006年第3期32-34,52,共4页
Advances in Science and Technology of Water Resources
关键词
BP神经网络
辨识网络
PID控制
水力机组仿真
水轮机调速器
BP neural network
identification network
PID control
simulation of hydraulic turbine
turbine governor
