Adaptive Control of the Grinding Process Based on Fuzzy RBF Neural Network

A method of intelligent PID control was proved and it´s based on RBF neural network and fuzzy theory, which constructs RBF neural network identifier online and identifies a controlled object online by means of adopting the receding horizon optimization methods, and adjusts parameters of PID controller online and realizes decoupling control of multivariable, nonlinear and time variation system. The analysis course is briefness, the time of network learning and training is little, learning precision is high, estimate value very close in upon analysis value. The simulation researches have verified the proposed approach which can be control systems where it is difficult to build accurate math model.