注塑机的PID神经网络温度控制系统

Third International Conference on Natural Computation (ICNC 2007) Pub Date : 2007-10-29 DOI:10.1109/ICMLC.2007.4370195

Huailin Shu, Huailin Shu

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引用次数: 9

摘要

PIDNN(比例、积分和导数神经网络)是作者于1997年首次提出的。本文分析了注塑机温度系统的特点和PIDNN控制系统的性能。给出了注塑机三级加热器的仿真结果。证明了PID神经网络具有良好的解耦和自学习控制性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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PID Neural Network Temperature Control System in Plastic Injecting-moulding Machine

PIDNN (proportional, integral and derivative neural network) was first created by the author in 1997. In this paper, the author analyzes the characteristics of the temperature system of the plastic injecting-moulding machine and the performances of the PIDNN control system. The simulation results for the three-stage heater in a plastic injection machine are shown. It is proved that the PID neural network has perfect decoupling and self-learning control performances.

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Third International Conference on Natural Computation (ICNC 2007)

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