INTERNAL MODEL CONTROL BASED ON GENETIC ALGORITHMS WITH PARAMETER IDENTIFICATION AND IT'S APPLICATION IN OBJECTS WITH LARGE TIME-DELAY AND PARAMETERS' VARIATION

CAO Tai-bin

doi:10.19666/j.rlfd.2006.11.008

English

您当前的位置：

首页 >

文章列表页 >

INTERNAL MODEL CONTROL BASED ON GENETIC ALGORITHMS WITH PARAMETER IDENTIFICATION AND IT'S APPLICATION IN OBJECTS WITH LARGE TIME-DELAY AND PARAMETERS' VARIATION

Thermal Power Generation Issue 11, Pages: 23-25(2006)

更新时间：2025-09-28

- INTERNAL MODEL CONTROL BASED ON GENETIC ALGORITHMS WITH PARAMETER IDENTIFICATION AND IT'S APPLICATION IN OBJECTS WITH LARGE TIME-DELAY AND PARAMETERS' VARIATION
- 作者机构：
  
  嘉兴学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.2006.11.008
  CLC： TP273.5
- Published：2006
- 稿件说明：
移动端阅览
CAO Tai-bin. INTERNAL MODEL CONTROL BASED ON GENETIC ALGORITHMS WITH PARAMETER IDENTIFICATION AND IT'S APPLICATION IN OBJECTS WITH LARGE TIME-DELAY AND PARAMETERS' VARIATION[J]. Thermal Power Generation, 2006, (11): 23-25.
DOI：

CAO Tai-bin. INTERNAL MODEL CONTROL BASED ON GENETIC ALGORITHMS WITH PARAMETER IDENTIFICATION AND IT'S APPLICATION IN OBJECTS WITH LARGE TIME-DELAY AND PARAMETERS' VARIATION[J]. Thermal Power Generation, 2006, (11): 23-25. DOI： 10.19666/j.rlfd.2006.11.008.

摘要

提出一种基于遗传算法(GA)在线参数辨识的内模控制

并应用于大时延变参数对象

构成对该对象的智能控制系统

使控制系统的鲁棒性得到了提高。应用内模控制对火电厂过热器温度控制进行仿真研究

并探讨了实际应用的可能性。研究结果表明

采用内模控制方法对过热器温度控制具有很好的控制效果。

Abstract

An internal model control(IMC) based on genetic algorithms with parameter identification has been put forward

and applying the IMC in objects with large time-delay and parameters' variation to compose an intelligent control system for objects with large time-delay and parameters' variation

making the robustness of control system to be enhanced.A simulation study on superheater temperature control in thermal power plant has been carried out by using the IMC

and the possibility of practical application being approached.Result of study show that the superheater temperature control by adopting IMC method to have very good control effectiveness.

关键词

Keywords

references

Views

108

下载量

CSCD

Alert me when the article has been cited

提交

Publicity Resources

IDENTIFICATION OF THERMODYNAMIC PROCESS THROUGH MODEL BASED ON MODIFIED PARTICLE SWARM ALGORITHM

Reheat steam temperature model identification of ultra supercritical unit with double reheat cycles

Identification of LPV model for denitrification system using improved QPSO algorithm

Related Author

ZHANG Hongtao1

HU Hongli2

XU Xinhang1

LIU Yonghong1 1.Hebei Provincial Electric Power Research Institute

SU Rongqiang

WU Hengyun

YANG Guotian

YUAN Shitong

Related Institution

Hebei Electric Power Research Institute

Northern Design and Research Institute

School of Control and Computer Engineering, North China Electric Power University

Xi'an Thermal Power Research Institute Co., Ltd

Datang Huazhong Electric Power Test and Research Institute

AI问答

⁰