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Feedback control of smart lighting systems based on color science.

机译:基于色彩科学的智能照明系统的反馈控制。

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摘要

With the recent developments in the solid state lighting industry, smart lighting systems are becoming a reality. These systems combine advanced light sources (light emitting diodes, or LEDs), advanced color sensors, and control algorithms to achieve energy efficiency, enhanced productivity, and healthy and comfortable lighting. The existing literature on general control of lighting systems does not exploit certain advantages that multi-color LED lighting systems have to offer, particularly the color tunability. This thesis proposes a color science approach to the problem of feedback controller design for color-tunable smart lighting systems, accounting for energy efficiency and customized and comfortable lighting. A general framework for the formulation of the control problem in lighting systems is presented, and different closed loop strategies for determination of the dimming levels for the color channels are proposed. Specifically, two classes of centralized and decentralized approaches are presented and the controller design methodology as well as system performances in both cases are demonstrated and compared. Moreover, this framework is generalized to perform feedback control based on estimation of the light field using computer graphics software.;For centralized control of lighting systems, the controller design problem is formulated as an optimization problem balancing light quality, human comfort, light field uniformity, and energy efficiency. Since the light transport model changes over time, an adaptation scheme is used to update it on the fly using input-output measurements. Further, an optimization-based methodology for feedback control of lighting systems with redundancy in the number of LED channels is presented. For decentralized control, a mechanism is proposed to automatically determine the feedback gains using individual sensor measurements in a plug-and-play fashion without the knowledge of the light transport model, which significantly reduces the commissioning time for the lighting system. In this case, the controller design problems are formulated and solved for two cases of decentralized setpoint tracking and decentralized quadratic optimal control (with tracking error and energy penalty).;Finally, this thesis presents a framework for using graphical rendering tools along with point sensor measurements for estimating the light field and using this estimate for feedback control. Computer graphics software is used to efficiently and accurately model building spaces, while a game engine is used to render different lighting conditions for the space on the fly. For each of the mentioned methodologies, experimental and/or simulation results are used to demonstrate the performance of the proposed controllers in lighting testbeds. Two room-sized testbeds, equipped with color-tunable lights and color sensors, realized in the Smart Lighting Engineering Research Center located at Rensselaer Polytechnic Institute in Troy, New York, are used for this purpose.
机译:随着固态照明行业的最新发展,智能照明系统已成为现实。这些系统结合了先进的光源(发光二极管或LED),先进的色彩传感器和控制算法,以实现能源效率,提高的生产率以及健康舒适的照明。关于照明系统的一般控制的现有文献没有利用多色LED照明系统必须提供的某些优点,特别是颜色可调性。本文针对色彩可调智能照明系统的反馈控制器设计问题提出了一种色彩科学方法,该方法考虑了能源效率以及定制和舒适的照明。提出了解决照明系统控制问题的通用框架,并提出了用于确定颜色通道调光水平的不同闭环策略。具体而言,提出了两类集中式和分散式方法,并演示和比较了两种情况下的控制器设计方法以及系统性能。此外,该框架被通用化以使用计算机图形软件基于光场的估计来执行反馈控制。;对于照明系统的集中控制,控制器设计问题被表述为平衡光质量,人体舒适度,光场均匀性的优化问题。 ,以及能源效率。由于光传输模型会随时间变化,因此将使用一种适应方案,使用输入-输出测量来动态更新它。此外,提出了一种基于优化的方法,用于对具有多个LED通道冗余的照明系统进行反馈控制。对于分散控制,提出了一种机制,可以在不了解光传输模型的情况下即插即用的方式使用单个传感器测量来自动确定反馈增益,从而显着减少了照明系统的调试时间。在这种情况下,针对分散的设定点跟踪和分散的二次最优控制(具有跟踪误差和能量损失)两种情况,提出并解决了控制器设计问题。最后,本文提出了一种使用图形渲染工具和点传感器的框架。测量以估计光场,并将此估计用于反馈控制。计算机图形软件用于高效,准确地对建筑空间进行建模,而游戏引擎用于实时渲染空间的不同照明条件。对于上述每种方法,实验和/或仿真结果均用于证明所提出的控制器在照明测试台中的性能。为此,在位于纽约特洛伊伦斯勒理工学院的智能照明工程研究中心实现了两个配备有可调光灯和色彩传感器的房间大小的测试台,用于此目的。

著录项

  • 作者

    Afshari, Sina.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Electrical engineering.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 185 p.
  • 总页数 185
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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