陶瓷Issue(4)：17-19,3.
基于神经网络的注塑机料筒温度解耦控制策略研究
The Study of Temperature Control Strategy for Plastic Injection Machine Based on Neural Network
摘要
Abstract
Aimed at the cojpling,nonlinear and time-varying of injection molding machine barrel temperature,proposed a control strat-egy based on neural network static decoupling and neurons adaptive PSD. Which can realize temperature decoupling and adaptive con-trol. The simulation results show that this control strategy can improve control performance greatly.关键词
料筒温度/静态解耦/PSD/自适应控制Key words
Barrel temperature/ Static decoupling/ PSD/ Adaptive control分类
化学化工引用本文复制引用
李明辉,李正琦..基于神经网络的注塑机料筒温度解耦控制策略研究[J].陶瓷,2012,(4):17-19,3.基金项目
温州市科技项目(项目编号:H20100044) （项目编号:H20100044）
