STUDY ON ADAPTIVE FUZZY NEURAL NETWORK USED FOR BED TEMPERATURE CONTROL SYSTEM OF CFB BOILER BASED ON ROUGH SET

YANG Chengmin1; LI Guoqiang2; NIU Peifeng2 1.Harbin Electric Power Vocational Technology College

English Version Reader LoginJournal Login

您当前的位置：

首页 >

文章列表页 >

STUDY ON ADAPTIVE FUZZY NEURAL NETWORK USED FOR BED TEMPERATURE CONTROL SYSTEM OF CFB BOILER BASED ON ROUGH SET

更新时间：2025-09-28

- STUDY ON ADAPTIVE FUZZY NEURAL NETWORK USED FOR BED TEMPERATURE CONTROL SYSTEM OF CFB BOILER BASED ON ROUGH SET
- Thermal Power Generation Vol. 41, Issue 7, Pages: 101-104(2012)
- 作者机构：
  
  1. 哈尔滨电力职业技术学院仿真室
  2. 燕山大学电气工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TK229.6
- Published：2012
- 稿件说明：
移动端阅览
YANG Chengmin1, LI Guoqiang2, NIU Peifeng2 1.Harbin Electric Power Vocational Technology College. STUDY ON ADAPTIVE FUZZY NEURAL NETWORK USED FOR BED TEMPERATURE CONTROL SYSTEM OF CFB BOILER BASED ON ROUGH SET[J]. Thermal power generation, 2012, 41(7): 101-104.
DOI：

YANG Chengmin1, LI Guoqiang2, NIU Peifeng2 1.Harbin Electric Power Vocational Technology College. STUDY ON ADAPTIVE FUZZY NEURAL NETWORK USED FOR BED TEMPERATURE CONTROL SYSTEM OF CFB BOILER BASED ON ROUGH SET[J]. Thermal power generation, 2012, 41(7): 101-104. DOI：

摘要

针对循环流化床(CFB)锅炉床温的非线性、大惯性和大延迟等特性

提出了1种基于粗糙集的自适应模糊神经网络的床温控制方法

并且通过大量已知数据的学习得到模糊规则及其隶属度函数。为了减少规则的数目

提高数据的学习效率

引入了粗糙集

从采集数据中提取最小规则集

从而解决了自适应模糊神经网络中的规则爆炸问题。以CFB锅炉床温为控制对象

对基于粗糙集的自适应模糊神经网络控制器进行仿真比较。结果表明

该控制器控制效果优于常规PID控制器

但稳态误差较常规PID控制器大

其稳态误差小于1.7%

在允许范围内。

Abstract

Directing against the features of non-linearity

large inertia

and long time delay of the bed temperature in CFB boilers

a control method of bed temperature using adaptive fuzzy neural network based on rough set has been put forward.This method boasts learning ability of neural network

and can obtain fuzzy rules and membership functions through learning a large number of available data.In order to reduce the number of fuzzy rules for improving the learning efficiency of data

a rough set has been introduced to draw minimal set of rules

thereby solving the problem of "explosion of rules".Taking the bed temperature in CFB boiler as the control object

an emulation and comparison of the adaptive neural network controller based on rough set have been made.Results obtained from emulation

关键词

Keywords

references

Views

143

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Dynamic model of bed temperature for circulating fluidized bed boilers

Fractional order PID predictive control of CFB boiler bed temperature based on Laguerre function

Vibration safety assessment for central full partition wall in a 700 MW high-efficiency ultra-supercritical CFB boiler

Online optimization for collaborative treatment of CO and multi-pollutant emission reduction based on particle swarm optimization

DESIGN OF CONTROL SYSTEM FOR HOMEMADE 410 t/h CFB BOILERS

Related Author

GAO Mingming

LIU Wei

YAN Guodong

HONG Feng

GUO Wei

QIAO Dongdong

LI Tao

LI Mingjia

Related Institution

State Key Laboratory of New Energy Power System, North China Electric Power University

Jiangsu Province Collaborative Innovation Center for Atmospheric Environment and Equipment Technology

School of Information and Control, Nanjing University of Information Science and Technology

Sichuan Key Laboratory of Clean Combustion and Smoke Purification

Dongfang Boiler Co., Ltd. of Dongfang Electric Group

AI问答

⁰