首页 | 本学科首页   官方微博 | 高级检索  
     

基于模糊神经网络智能PI的过热蒸汽温度控制研究
引用本文:马宁.基于模糊神经网络智能PI的过热蒸汽温度控制研究[J].热力发电,2007,36(6):101-103,118.
作者姓名:马宁
作者单位:山西工程职业技术学院,山西,太原,030009
摘    要:介绍了在电厂过热蒸汽温度控制中采用模糊神经网络智能PI(FNN-PI)的控制方法。将基于FNN-PI的过热蒸汽温度控制系统与传统的PID过热蒸汽温度控制系统进行了仿真比较,结果表明采用FNN-PI的过热蒸汽温度控制系统的控制特性在超调量、快速性、抗干扰方面均有很大的提高。

关 键 词:过热蒸汽  温度控制  仿真
文章编号:1002-3364(2007)06-0001-02
修稿时间:2006-08-28

STUDY ON SUPERHEATED STEAM TEMPERATURE CONTROL BASED ON INTELLIGENT PI OF FUZZY NEURAL NETWORKS
MA Ning.STUDY ON SUPERHEATED STEAM TEMPERATURE CONTROL BASED ON INTELLIGENT PI OF FUZZY NEURAL NETWORKS[J].Thermal Power Generation,2007,36(6):101-103,118.
Authors:MA Ning
Affiliation:Shanxi Engineering Professional Teehnieal College, Taiyuan 030009, Shannxi Provinee, PRC
Abstract:A control method using intelligent PI of the fuzzy neural networks in superheated steam tempere control of power plants has been presented, and a simulation comparison between the said control system and the traditional PID control system being carried out. Results show that the control performance of the control system using FNN-PI has been greatly enhanced in aspects of overshoot, rapidity, and anti-jamming.
Keywords:FNN-PI  PID
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号