Focused on the dynamic and static performances of a nonlinear time-variant system with large delay-time, and the shortages of great control deviation and slow rate of regulation in the traditional PID control systems for injection molding machines, this paper has established injection molding machine temperature controller model with using PID neural networks, completed the simulation and the contrast to the traditional PID control simulation for using MATLAB software. Simulation results demonstrate that the PID neural networks controller has strong ability to adapt working conditions and inhibit interference, and better than conventional PID controller to control the temperature.
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