Dynamic Simulation of Vapor-Compression Cycle Using Neural Networks

被引：3

作者：

Yoon, Young-Jin ^{[2
]}

Lee, Man Hyung ^{[1
]}

机构：

[1] Pusan Natl Univ, Grad Sch Mech Engn, Pusan 609735, South Korea

[2] Pusan Natl Univ, Grad Sch Mech & Intelligent Engn, Pusan 609735, South Korea

来源：

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2010年 / 8卷 / 06期

关键词：

Air-to-water heat pump; dynamic simulation; neural network; vapor-compression cycle; LIQUID CHILLERS; PERFORMANCE; MODEL;

D O I：

10.1007/s12555-010-0609-6

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 this paper, the thermodynamic modeling of a vapor-compression cycle based on a neural network approach is presented A generalized radial basis function is used for the network, which takes previous control inputs and previous states as the network input and generates the predicted current state as the network output The trained network is validated by non-trained data and shows all the process characteristics of a vapor-compression cycle for an air-to-water heat pump to a satisfactory degree

引用

页码：1241 / 1249

页数：9

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