Main Steam Temperature Control Using RBF Neural Network Based on Ant Colony Optimization Algorithm

LANG Xian-ming; QU Bao-cun; WU Chuan-guo; ZHANG Yong-qiang

Chinese

您当前的位置：

首页 >

文章列表页 >

Main Steam Temperature Control Using RBF Neural Network Based on Ant Colony Optimization Algorithm

更新时间：2026-07-10

- Main Steam Temperature Control Using RBF Neural Network Based on Ant Colony Optimization Algorithm
- Vol. 15, Issue 6, Pages: 47-50(2010)
- 作者机构：
  
  辽宁石油化工大学信息与控制工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP273
- Published：2010
- 稿件说明：
移动端阅览
LANG Xian-ming, QU Bao-cun, WU Chuan-guo, et al. Main Steam Temperature Control Using RBF Neural Network Based on Ant Colony Optimization Algorithm[J]. 2010, 15(6): 47-50.
DOI：

LANG Xian-ming, QU Bao-cun, WU Chuan-guo, et al. Main Steam Temperature Control Using RBF Neural Network Based on Ant Colony Optimization Algorithm[J]. 2010, 15(6): 47-50. DOI：

摘要

针对火电厂主蒸汽温度模型不确定性的问题

提出一种智能复合控制方法.采用粒子群算法优化蚁群算法参数

将改进蚁群算法对径向基神经网络PID的权值进行优化

从而实现了对主蒸汽温度的动态控制.仿真结果表明

基于改进蚁群算法优化的径向基神经网络PID控制器使被控系统具有快速响应速度和很好的抗干扰性能

证明了该方法的有效性.

Abstract

Directing against the features of uncertainty in the steam temperature control of thermal power plants

an intelligent control method has been put forward.The improved ant colony optimization algorithm with PSO algorithm is put forward to optimize the weights of network PID controller

thus realizing the main steam temperature dynamic control.The simulation results show that the PID controller using RBF neural network based on ant colony algorithm with PSO algorithm has the advantages of high rapid response

a...

关键词

Keywords

references

Views

2112

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on WSN Routing Protocol based on Ant Colony Algorithm

The Extraction of Bamboo’s Inner and Outer Contours Using Sobel Operator to Ant Colony Algorithm

Improved Ant Colony Algorithm for Network Flow Scheduling in SDN Data Center

Context-Aware Feature Augmentation Method for Person Re-Identification

Theoretical Calculation and Software Development of Flange Bolt Tightening Torque for Nuclear Power Pipeline

Related Author

SONG Li-xin

DAI He

CHAI Hua

REN Hong-e

ZHANG Jun-qing

ZHU Su-xia

LONG Yi-fei

SUN Guang-lu

Related Institution

School of Electrical and Electronic En}ineerin}, Harbin University of Science and Technology.

College of Information and Computer Engineering，Northeast Forestry University

(School of Computer Science and Technology, Harbin University of Science and Technology,,)

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰