Design and instrumentation of an intelligent building testbed

Design and instrumentation of an intelligent building testbed
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智能建筑试验台的设计与检测

DOI:
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发表时间:
2015
期刊:
2015 IEEE International Conference on Automation Science and Engineering (CASE)
影响因子:
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通讯作者:
Timothy Castiglia
Timothy Castiglia
中科院分区:
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文献类型:
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作者:
M. Minakais;Sandipan Mishra;J. Wen;L. Lagacé;Timothy Castiglia

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本文介绍了 3:5 比例的智能建筑物理测试台的设计和仪器仪表。该测试台旨在在受控且可重复的设置中评估各种温度控制算法的性能。该测试台的主要特点包括完全控制的质量流量和送风温度、传感器丰富的环境(同时产生温度和能量测量)、测试台周围环境温度的控制以及具有多个区域和不同程度的热与质量流量耦合的模块化结构。试验台划分为6个房间;这些房间的互连结构使我们能够研究相邻区域之间发生的热耦合,并探索与欠驱动区域相关的挑战。空调由中央计算机无线控制的壁挂式热电冷却器提供。该测试台的一个独特之处在于它放置在更大的温控外壳内,可以模拟随时间变化的环境天气。环境温度的精确控制提供了一种对控制架构进行稳健比较和评估的方法。作为初步演示,我们提供了实验结果,比较了分散式比例积分控制器和分散式自适应控制器在时变环境温度下的性能。
This paper presents the design and instrumentation of a 3:5-scale physical testbed of an intelligent building. The testbed is designed to enable performance evaluation of various temperature control algorithms in a controlled and repeatable setting. Key features of this testbed include fully controlled mass flow and supply air temperature, a sensor-rich environment (producing both temperature and energy measurements), control of the ambient temperature around the testbed, and a modular structure with multiple zones and varying degrees of thermal and mass flow coupling. The testbed is partitioned into 6 rooms; the interconnected structure of these rooms allows us to study the thermal coupling that occurs between adjacent zones and to explore the challenges associated with under-actuated zones. Air conditioning is provided by wall mounted thermoelectric coolers controlled wirelessly from a central computer. A unique feature of this testbed is its placement inside a larger temperature-controlled enclosure, which allows simulation of time-varying ambient weather. Precise control of ambient temperature provides a means for robust comparison and evaluation of control architectures. As a preliminary demonstration, we present experimental results comparing the performance of a decentralized proportional-integral controller and a decentralized adaptive controller under time-varying ambient temperature.