智能家居环境中混合温度控制拟合方法

Zhuo Cheng, Yasuo Tan, A. Lim
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引用次数: 1

摘要

控制系统的设计是提高家居环境舒适度的关键。信息物理系统(cps)可以为设计高效的控制系统提供许多机会。本文重点研究了温度控制系统的设计。利用CPS的思想,提出了一种混合温度控制系统。它结合了监控和比例积分导数(PID)控制器。HTC系统通过节能温度控制(EETC)算法,通过空调、窗户和窗帘三个执行器,实现对室内温度的监测和保持在所需的间隔内。作为物理世界与网络世界的紧密结合,物理平台的感知精度对HTC系统的性能有着重要的影响。通过仿真和现场实验,获得了控制性能与传感精度之间的关系。在不增加系统实现成本的前提下,提出了一种拟合函数方法来提高传感精度。采用该方法可以明显提高HTC系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fitting method for hybrid temperature control in smart home environment
The design of control system is crucial for improving the comfort level of home environment. Cyber-Physical Systems (CPSs) can offer numerous opportunities to design high efficient control systems. In this paper, we focus on the design of temperature control systems. By using the idea of CPS, a hybrid temperature control (HTC) system is proposed. It combines supervisory and proportional-integral-derivative (PID) controllers. Through an energy efficient temperature control (EETC) algorithm, HTC system enables to monitor and maintain the room temperature in the desired interval with three actuators: air-conditioner, window and curtain. As the tight integration of physical and cyber worlds, the sensing accuracy of physical platform has significant impact on the performance of HTC system. Through simulations and field experiments, the relationship between control performance and sensing accuracy is captured. A fitting function method is proposed to improve the sensing accuracy without increasing monetary cost of the system implementation. By using this method, the performance of HTC system can be increased obviously.
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