The dynamic fuzzy method to tune the weight factors of neural fuzzy PID controller

A new method to modify the weight factors of PID neural network (PIDNN) in neural fuzzy PID controller is presented in this paper. The parameter fuzzy inference base (PFIB) is the structure to carry out the weight-value improving. The principle of PFIB is described and the neural fuzzy PID controller has been used in the steel tube pressure detecting system. The result of running shows that the neural fuzzy PID controller with PFIB has the better and satisfactory behavior for real time industrial control processing.

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