Control and Simulation of Temperature for Injection Molding Machines Based on PID Neural Networks

DOI

10.2991/ameii-15.2015.244How to use a DOI?

Keywords

PID; Neural Networks; Simulation; Control.

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shaojia He
AU  - Lvguang Shi
PY  - 2015/04
DA  - 2015/04
TI  - Control and Simulation of Temperature for Injection Molding Machines Based on PID Neural Networks
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 1325
EP  - 1329
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.244
DO  - 10.2991/ameii-15.2015.244
ID  - He2015/04
ER  -