Study of Parameter Optimization for Single Phase Heat Exchanger Model Based on Particle Swarm Optimization Algorithm

被引：0
|
作者：
Ma, Jin [1 ]
Hui, Zhenqiao [1 ]
Ma, Liangyu [1 ]
Liu, Weiliang [1 ]
Zhai, Yongjie [1 ]
机构：
[1] North China Elect Power Univ, Sch Control Sci & Engn, Baoding 071003, Peoples R China
来源：
PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC) | 2016年
关键词：
Single Phase Heat Exchanger; Mechanism Model; Particle Swarm Optimization; Parameter Optimization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The particle swarm optimization (PSO) is put forward to optimize model parameters of single phase heat exchanger to decrease model error. The mechanism model is built and optimization parameters are selected. PSO is applied to superheater model of power plant simulator until model errors are less than permitted error. Simulation result shows that the optimization procedure reaches the demanded accuracy without manual adjustment; the manual debugging time and workload are shortened. This method is general and simple, providing a new way for parameter optimization in other mechanism models.
引用
收藏
页码：4825 / 4829
页数：5
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