A Plug-and-Play Realization of Decentralized Feedback Control for Smart Lighting Systems

This paper proposes decentralized feedback controllers with plug-and-play capability for a class of smart lighting systems. In these systems, each light fixture has a spectrally tunable light source and a multichannel color sensor, and no communication is required between fixtures. Further, the light transport in the illuminated space is diagonally dominant, i.e., the light sensed by each sensor is primarily from the source in the same fixture. 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). For the decentralized setpoint tracking problem, 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 of the illuminated space. For the decentralized quadratic optimal control, the design problem is approximated with a series of local optimization problems, which are solved in a decentralized manner using individual sensor measurements. A suboptimality bound for the solution of the approximated problem compared with the global optimum is obtained. The performance of the suggested controllers in terms of achievement of a desired setpoint and daylight harvesting for energy saving is validated and evaluated based on typical lighting parameters in a room-scale experimental testbed with light-emitting diode fixtures and color sensors.

[1]  John T. Wen,et al.  Modeling and feedback control of color-tunable LED lighting systems , 2012, 2012 American Control Conference (ACC).

[2]  T. Ozcelebi,et al.  Smart indoor solid state lighting based on a novel illumination model and implementation , 2011, IEEE Transactions on Consumer Electronics.

[3]  Carl D. Meyer,et al.  Matrix Analysis and Applied Linear Algebra , 2000 .

[4]  Geert Leus,et al.  Occupancy-based illumination control of LED lighting systems , 2011 .

[5]  Yu-Chee Tseng,et al.  A WSN-Based Intelligent Light Control System Considering User Activities and Profiles , 2008, IEEE Sensors Journal.

[6]  Andreas Krause,et al.  Intelligent light control using sensor networks , 2005, SenSys '05.

[7]  J. Merikoski,et al.  Inequalities for spreads of matrix sums and products. , 2004 .

[8]  John T. Wen,et al.  An adaptive smart lighting system , 2012, BuildSys '12.

[9]  Francis Rubinstein,et al.  On the Calibration and Commissioning of Lighting Controls , 1997 .

[10]  Alice M. Agogino,et al.  Towards embedded wireless-networked intelligent daylighting systems for commercial buildings , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[11]  Nan Zhao,et al.  Energy efficient control of polychromatic solid state lighting using a sensor network , 2010, Optical Engineering + Applications.

[12]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.

[13]  Sandipan Mishra,et al.  Decentralized Feedback Control of Smart Lighting Systems , 2013 .

[14]  Kevin M. Passino,et al.  Illumination Balancing Algorithm for Smart Lights , 2014, IEEE Transactions on Control Systems Technology.

[15]  John T. Wen,et al.  Modeling and control of color tunable lighting systems , 2014 .

[16]  Alice M. Agogino,et al.  Control of wireless-networked lighting in open-plan offices , 2011 .

[17]  David Caicedo,et al.  Distributed lighting control with daylight and occupancy adaptation , 2014 .

[18]  D. Caicedo,et al.  Distributed Illumination Control With Local Sensing and Actuation in Networked Lighting Systems , 2013, IEEE Sensors Journal.

[19]  Partha Dasgupta,et al.  Designing an adaptive lighting control system for smart buildings and homes , 2015, 2015 IEEE 12th International Conference on Networking, Sensing and Control.

[20]  Theodore P. Pavlic,et al.  Poster abstract: Physical stigmergy for decentralized constrained optimization: An intelligent lighting example , 2013, 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[21]  W. Marsden I and J , 2012 .

[22]  G. Wyszecki,et al.  Color Science Concepts and Methods , 1982 .

[23]  A. S. Morse,et al.  Stabilization with decentralized feedback control , 1972, CDC 1972.

[24]  Audra E. Kosh,et al.  Linear Algebra and its Applications , 1992 .

[25]  A. T. Fuller,et al.  On the stabilization of matrices and the convergence of linear iterative processes , 1958, Mathematical Proceedings of the Cambridge Philosophical Society.