Fluid Network Parameters Modeling Based on Particle Swarm Optimization

被引：0

作者：

Zhang Yue ^{[1
]}

Men Yuhan ^{[1
]}

Liu Yunfei ^{[1
]}

机构：

[1] North China Elect Power Univ, Automat Dept, Beijing 071000, Peoples R China

来源：

PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016 | 2016年

关键词：

fluid network; signal flow graph; mechanism model; PSO; identify;

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：

In the Power Plant Simulation System, Fluid network is widely present. Model accuracy largely determines the merits of the simulation system. The concept of signal flow graph has been introduced into the mechanism modeling process to describe the fluid network. Various structures in the fluid network are classified as node and branch, and the algorithm relationship of node's pressure and According to identify the unknown parameters in the model using the PSO, the influence from parameters of PSO to the process of optimization could be studied. Then the range of unknown parameters could be determined. Optimization could be accelerated, so as to achieve optimal results.

引用

页码：1909 / 1914

页数：6

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