摘要
采用一种自组织模糊神经网络设计电力系统稳定器,该稳定器能通过结构和参数的学习,克服传统模糊控制器设计过程中存在的盲目性及拚凑性,避免模糊控制器中模糊逻辑规则的冗余或欠缺.
A kind of self organizing fuzzy neural network is applied to design power system stabilizer in the paper.With structure and parameter learning of neural networks,this power system stabilizer could overcome the blindness and exploration existing in designing traditional fuzzy power system stabilizer,avoid surplus and deficiency of fuzzy logic rule in fuzzy controller.The simulation example shows that this power system stabilizer has good control performance.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1999年第5期687-690,695,共5页
Control Theory & Applications
关键词
自组织模糊神经网络
电力系统稳定器
模糊控制器
self organizing fuzzy neural networks
power system stabilizer
fuzzy controller