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基于改进单神经元的PET吹瓶机温度解耦控制系统研究
引用本文:李元伟,王钦若,李近.基于改进单神经元的PET吹瓶机温度解耦控制系统研究[J].黑龙江水专学报,2011,2(4):118-121.
作者姓名:李元伟  王钦若  李近
作者单位:广东工业大学自动化学院,广州,510006
基金项目:广东省科技计划项目(2005A20302006)
摘    要:将神经网络应用到PID控制器的参数整定过程中,提出一种基于改进单神经元PID的控制算法,通过在吹瓶机温度解耦控制系统中的应用,得出了仿真结果及结论.仿真结果表明:该控制算法具有很强的自学习功能和自适应解耦能力,能取得良好的控制效果,因而可以广泛地应用于多变量系统的解耦控制中.

关 键 词:PET吹瓶机  单神经元  PID控制器  解耦控制

Decoupling control system of PET bottle blowing machine temperatures based on the improved single neuron
LI Yuan-wei , WANG Qin-ruo , LI Jin.Decoupling control system of PET bottle blowing machine temperatures based on the improved single neuron[J].Journal of Heilongjiang Hydraulic Engineering College,2011,2(4):118-121.
Authors:LI Yuan-wei  WANG Qin-ruo  LI Jin
Affiliation:(School of Automation, Guangdong University of Technology, Guangzhou 510006 , China)
Abstract:Neural network is applied to parameters' tuning of digital PID controller, a control algorithm based on the improved single neuron PID is presented and applied to control system of bottle blowing machine temperatures. So we draws simulation results and a conclusion. The simulation results show that the control algorithm has a strong self-learning function and adaptive decoupling capacity and can obtain the good control effect. As a result, it can be far-ranging applied to decoupling control of MIMO system.
Keywords:PET bottle blowing machine  single neuron  PID controller  decoupling control
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