DocumentCode
530855
Title
Study on control strategy of water- cooled VRF system
Author
Xuquan, Li ; Minjie, Gu ; Wei, Song ; Songtao, Hu
Author_Institution
Sch. of Environ. & Municipal Eng., Qingdao Technol. Univ., Qingdao, China
Volume
1
fYear
2010
fDate
24-26 Aug. 2010
Firstpage
334
Lastpage
337
Abstract
Water-cooled VRF system is a strongly coupled, highly nonlinear complex system. The main parameters of the refrigeration system components coupled, interrelated and closely associated with the indoor environment. Using classical control theory can´t be well to improve the performance of water-cooling VRF. In this article, neural network theory is used to study the control strategy, and the results show that the control strategy can be applied to dynamic simulation of water-cooling VRF. It provides the basis for the development of water-cooling VRF.
Keywords
cooling; neurocontrollers; refrigerants; control strategy; neural network theory; nonlinear complex system; refrigeration system components; variable refrigerant flow; water-cooled VRF system; Indium phosphide; control strategy; coupling; neural network; simulation; water-cooled VRF;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location
Changchun
Print_ISBN
978-1-4244-7957-3
Type
conf
DOI
10.1109/CMCE.2010.5610505
Filename
5610505
Link To Document