The PID-type fuzzy neural network control and it's application in the hydraulic turbine generators
Wang Yin-Song, Shang Guocai, HE Tong-xiang · 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077) · 2002
In this paper, a fuzzy-neural-networks (FNN) scheme based on the gradient descent algorithm is proposed for a PID-type fuzzy controller. The proposed FNN is utilized in the self-learning control structure. In the control system, the proposed FNN as feedback a controller (FNNC). The authors give and analyze the convergent theorem that guarantees the learning rate to converge for the FNNC. For hydraulic turbine generators, the online learning ability of the proposed FNNC is confirmed by computer simulation results.