基于自组织模糊神经网络电力系统稳定器的设计

Design of Self Organizing Power System Stabilizer Based on Fuzzy Neural Network

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.