摘要
摘要:提出了一种利用减法聚类方法对模糊神经励磁调节器的初始参数和结构进行辨识的建模方法,利用此方法对水轮发电机的模糊神经励磁调节器进行了设计,并通过数字仿真验证了该方法的优越性。
A new modeling method to identify the structure and initial parameters of fuzzy neural excitation regulator by subtractive clustering is presented and used in the design of the fuzzy neural excitation regulator for hydro-generator. The superiority of the presented method is verified by the results 01 digital simulation.
出处
《电网技术》
EI
CSCD
北大核心
2004年第16期48-51,共4页
Power System Technology
关键词
水轮发电机
减法聚类
模糊神经网络
励磁调节器
数字仿真
设计
电力系统稳定器
Computer simulation
Electric current regulators
Electric excitation
Fuzzy control
Mathematical models
Neural networks
Systems analysis
