Application of fractional-order model in power plant control systems

GU Junjie; HOU Yafei; WANG Peng

English

您当前的位置：

首页 >

文章列表页 >

Application of fractional-order model in power plant control systems

Thermal Power Generation Vol. 45, Issue 4, Pages: 106-110(2016)

更新时间：2025-09-28

- Application of fractional-order model in power plant control systems
- 作者机构：
  
  华北电力大学能源动力与机械工程学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM62
- Published：2016
- 稿件说明：
移动端阅览
GU Junjie, HOU Yafei, WANG Peng. Application of fractional-order model in power plant control systems[J]. Thermal Power Generation, 2016, 45(4): 106-110.
DOI：

GU Junjie, HOU Yafei, WANG Peng. Application of fractional-order model in power plant control systems[J]. Thermal Power Generation, 2016, 45(4): 106-110. DOI：

摘要

从分数阶微积分的数学定义推导出分数阶微积分的数值表达式

并利用粒子群优化算法辨识得到分数阶模型

将其应用于超超临界燃煤机组

得到燃料量与中间点压力之间的分数阶模型和整数阶模型

在所求模型的基础上设计了分数阶内模控制器

对整数阶控制器和分数阶控制器的控制效果进行对比。结果表明:分数阶内模控制器比整数阶内模控制器具有更好的控制效果和抗干扰能力。

Abstract

The mathematical expression of fractional-order calculus was derived from the fractional-order calculus definition

and then the particle swarm optimization algorithm was applied to identify the fractional-order model for the relationship between the fuel flow and intermediate-point pressure in supercritical power plant.On this basis

a fractional internal model controller(IMC)was designed.Moreover

the control effects of this IMC was compared with that of the conventional integer-order IMC.The results show that the fractional-order IMC this paper designed has better control effect and anti-disturbance ability.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

Optimization of start and stop of coal mills during once through boiler's fast load varying

GA-SVM-based soft-sensor model for oxygen content in flue gas of utility boilers

Design of flue gas denitration control system based on feedforward constrained dynamic matrix control

Model for predicting SCR flue gas denitration efficiency based on particle swarm optimization and twin support vector machine

Repetitive disturbances rejection control for a class of thermal unstable process

Related Author

QIN Xiaojie

HE Yao

FANG Yanjun

XING Fei

CHEN Xingxu

YIN Xichao

NIU Chenglin

ZHAO Kai

Related Institution

School of Power and Mechanical Engineering, Wuhan University

Department of Automation, North China Electric Power University

State Grid Beijing Electric Power Company

Fujian Electric Power Survey and Design Institute

School of Information Science, Zhejiang University of Technology

AI问答

⁰