引用本文:王志征,余岳峰,姚国平.基于神经网络的过热汽温模型预测控制[J].电力自动化设备,2004,(2):27-29
.Model predictive control of superheated steam temperature system based on neural network[J].Electric Power Automation Equipment,2004,(2):27-29
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  【EndNote】   【RefMan】   【BibTex】
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 3581次   下载 2 本文二维码信息
码上扫一扫!
基于神经网络的过热汽温模型预测控制
王志征,余岳峰,姚国平
作者单位
摘要:
通过神经网络系统辨识实现非线性系统的模型预测控制MPC(Model Predictive Contro1),建立了基于神经网络系统辨识的过热汽温模型预测控制系统。仿真结果表明,较之传统的过热汽温串级调节系统,采用该模型预测控制策略的过热汽温控制系统的控制性能有很大的提高。
关键词:  神经网络 过热汽温控制 模型预测控制 系统辨识
DOI:
分类号:TP273
基金项目:
Model predictive control of superheated steam temperature system based on neural network
WANG Zhi - zheng  YU Yue - feng  YAO Guo - ping
Abstract:
A strategy to realize model predictive control of nonlinear system by neural network identification is introduced to superheated steam temperature system.The simulative results show that the control performance of the model predictive control system is superior to that of the traditional cascade control system.
Key words:  neural network,superheated steam temperature control,model predictive control,sys - tem identification,

用微信扫一扫

用微信扫一扫