| PID神经网络解耦控制注塑机料筒多段温度系统 |
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| 引用本文： | 舒怀林,郭秀才.PID神经网络解耦控制注塑机料筒多段温度系统[J].可编程控制器与工厂自动化(PLC FA),2005(7):126-128. |
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| 作者姓名： | 舒怀林 郭秀才 |
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| 作者单位： | [1]广州大学信息与控制技术研究所 [2]西安科技大学电气与控制工程学院 |
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| 摘 要： | 本文根据注塑机料筒温度控制的要求，利用PID神经网络构成多变量解耦控制系统。注塑机料筒温度是一类多变量、强耦合、大惯性控制对象，文中分析了注塑机温度控制的特点，给出了PID神经网络的结构和算法，对多段温度系统进行了实时仿真，显示了PID神经网络对注塑机料筒温度控制的良好解耦性能和自学习控制特性。
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| 关 键 词： | 多变量系统 注塑机 PID神经网络 解耦控制 |
| 文章编号： | 1606-5123（2005）07-0126-03 |
PID Neural Network Decoupling Control for Temperature of Plastic Injection Machine System |
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| Shu HuaiLin;Guo XiuCai.PID Neural Network Decoupling Control for Temperature of Plastic Injection Machine System[J].Programmable controller & Factory Automation(PLC & FA),2005(7):126-128. |
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| Authors: | Shu HuaiLin;Guo XiuCai |
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| Abstract: | The paper shows PID neural network decoupling control system for temperature of plastic injection machine. The multivariable strong-coupled properties of the system are analyzed and the structure and the algorithm of the PID neural networks are given. The simulation results for the control of a three stage heater in a plastic injection machine are shown. It is proved that the PID neural network has perfect decouple and self-learning control performance for the multivariable temperature system. |
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| Keywords: | Multivariable system Plastic injection machine PID neural network Decouple control |
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