Tension control system based on fuzzy-neural network PID

Since the winding tension control system is a complicated,tandem driving,time change and non-linear one,using traditional PID control can not settle the problems of dynamic change of the non-linear system and PID parameter adjustment online.The paper gives one control algorithm—the combination method of fuzzy-neural network PID control,which can optimize three parameters of PID in operation according to error and error rate at real time,achieve the PID control with the best combinations,and realize the adaptive and intelligent performance of PID control.The fuzzy-neural network PID control is compared with traditional PID by simulation through MatLab.The results show that the system has better dynamic,static and adaptive performances by using the fuzzy-neural network PID control strategy.