Predictive control algorithm based on local-modeling and its application in aromatics isomerization process

LIU Jun; LI Lijuan; ZHANG Shi

doi:10.3969/j.issn.0438-1157.2012.09.014

您当前的位置：

首页 >

文章列表页 >

Predictive control algorithm based on local-modeling and its application in aromatics isomerization process

更新时间：2025-12-10

- Predictive control algorithm based on local-modeling and its application in aromatics isomerization process
- CIESC Journal Issue 9, Pages: 2766-2770(2012)
- 作者机构：
  
  南京工业大学自动化与电气工程学院,江苏,南京,211816
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2012.09.014
  CLC： P273
- Online First：05 September 2012，
  
  Published：05 September 2012
- 稿件说明：
移动端阅览
LIU Jun, LI Lijuan, ZHANG Shi. Predictive control algorithm based on local-modeling and its application in aromatics isomerization process[J]. CIESC Journal, 2012, (9): 2766-2770.
DOI：

LIU Jun, LI Lijuan, ZHANG Shi. Predictive control algorithm based on local-modeling and its application in aromatics isomerization process[J]. CIESC Journal, 2012, (9): 2766-2770. DOI： 10.3969/j.issn.0438-1157.2012.09.014.

摘要

针对一类非线性系统提出了基于局部建模的预测控制算法

对于局部模型的训练数据选取

同时考虑了样本数据之间的欧氏距离与向量的夹角

使得训练数据的选取更合理

并对芳烃异构化过程进行了实验仿真。首先通过最小二乘支持向量机进行局部建模

并将局部模型作为算法的预测模型。然后利用粒子群优化算法进行滚动优化

寻找到最优控制量。最终仿真实验验证了该算法的有效性和鲁棒性。

Abstract

A predictive control algorithm based on local modeling is presented for a class of non-linear systems.In order to obtain reasonable training data

both the Euclidean distance between the sample data and angle of vector are considered.And the algorithm is applied in the simulation control of aromatics isomerization process.Firstly

the local-model is obtained as predictive model by least squares support vector machine(LS-SVM)algorithm.And then

the control values are obtained by the rolling particle swarm optimization(PSO)algorithm.Finally

the presented algorithm is applied in the simulation control of aromatics isomerization process

and the results show the effectiveness and robustness of the algorithm.

关键词

Keywords

references

Views

173

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Artificial affective neural networks with applications

Dynamic performance analysis and neural network predictive control of microbial fuel cell

ANFIS model-based predictive control for Pr/Nd cascade extraction process

Predictive control and economic performance optimization of CFBB combustion process

Model predictive control with input feedback and its controllability for unsymmetrical systems

Related Author

LI Hongguang

WANG Xueliang

FU Juan

ZHENG Chendong

ZHANG Haochen

LIU Yunli

AN Aimin

ZHANG Zhiyong

Related Institution

College of Information Science and Technology,Beijing University of Chemical Technology

College of Electrical and Information Engineering, Lanzhou University of Technology

School of Electrical and Engineering, East China Jiaotong University

State Key Laboratory of Industrial Control Technology, Institute of Cyber-System and Control, Zhejiang University

Zhejiang Huaneng Yuhuan Power Plant, Yuhuan

⁰