Study on control strategy of water- cooled VRF system

摘要：

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 cant 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.

关键词： water-cooled VRF neural network simulation coupling control strategy

作者: Li Xuquan Gu Minjie Song Wei Hu Songtao

作者单位: School of environmental and municipal engineering Qingdao Technological University Qingdao, China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer,Mechatronics,Control and Electronic Engineering(2010计算机、机电、控制与电子工程国际会议 CMCE 2010)

会议地点: 长春

会议语种:英文

页码: 334-337

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）