Adaptive Fuzzy Neural Network of Cast-Rolling Hydraulic AGC

Cast-roll hydraulic AGC is the main control means of the strip t hickness. The control effect of traditional PID is poor for adjusting this kind of model parameters. Therefore, a new type of fuzzy neural network self-learning and adaptive controller is proposed, and analyze the composition and basic performance. The simulation results show that the new controller can effectively improve its response, what’s more it has a better dynamic performance more than another control strategies.