所属单位：

建筑设备科学与工程学院

发表刊物：

Proceeding of the 8th World Congress on Intelligent Control and Automation

关键字：

中文关键字：无，英文关键字：variable air volume; global optimization control;l

摘要：

Energy conversation is a goal of optimal control of Heating, ventilating and air-conditioning (HVAC) system. HVAC is a multi-variable, strongly coupled, nonlinear, time variant large-scale system composed of several subsystems. In this paper, a variable air volume (VAV) air-conditioning system is wholly analyzed with large-scale system theory based on “decomposition and coordination” strategy, and is partially controlled with iterative learning control (ILC) to improve the transient process. The dynamic and steady-state models were built for dynamic characteristic improvement and global optimal control, respectively. For the evaluation of the control policy, the physical tests were implemented on HVAC experimental platform. Results show that all control subsystems work coordinately with “decomposition and coordination” strategy under variable loads. The good performance of subsystems can be maintained under ILC strategy when working points change with the dynamic load.

备注：

闫秀英

第一作者：

闫秀英

论文类型：

期刊论文

卷号：

卷：

期号：

期：

页面范围：

页：5077-5081

是否译文：

否

发表时间：

2010-07-01