Study on Die Casting Speed Control based on Neural Network

Abstract

In order to improve the speed control and accuracy of the injection system of semi-solid die casting machines, this paper proposed a PID controller based on BP neural network to optimize the control performance. This paper analyzed the characteristics and control principles of the injection system of semi-solid die-casting machines, compared the advantages and limitations of the existing control algorithms, and based on the traditional PID control algorithm, adopted a neural network algorithm for online adjustment of its parameters to improve the overall system response time. This paper built a PID controller model based on BP neural network, and made online simulation through MATLAB and SIMULINK. Results showed that the controller model is better than the traditional PID control model in terms of the system response time, overshoot and steady-state error, and meets the control requirements of the injection system of semi-solid die casting machines.