In view of the problems of high energy consumption and poor crushing effect of traditional hammer feed grinder,a control method of NN-PID was proposed.Firstly,the structure of neural network and related parameters of crusher were deter-mined.Then the neural network algorithm was input into S function,and a PID control model of feed crusher system was built by MATLAB-Simulink graphical programming module.Finally,the control model was verified by simulation software.The ex-perimental results showed that when the input step signal was R=1,the rise time of the feed grinder control system was 0.662 s,the peak time was 0.987 s,the maximum overshoot amount was 0.044％,and the adjustment time was 1.447 s.Com-pared with the traditional T-PID model and F-PID model,this model had higher control accuracy,stronger stability and robust-ness,and better performance in the four performance evaluation indicators.It shows that this model can reduce the crushing en-ergy consumption of the hammer chip feed grinder,improve the powder effect and crushing productivity,and meet the automatic control requirements of the feed grinder control system.
维普
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