Research on an automatic processing control technology for feed crusher
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.
万方数据
维普
