Daylight illuminance control with fuzzy logic

The purpose is to take full advantage of daylight for inside illumination. The inside illuminance and luminous efficacy of the available solar radiation were analyzed. The paper deals with the controlled dynamic illuminance response of built environment in real-time conditions. The aim is controlled functioning of the roller blind as a regulation device to assure the desired inside illuminance with smooth roller blind moving. Automatic illuminance control based on fuzzy logic is realized on a test chamber with an opening on the south side. The development and design of the fuzzy controller for the corresponding positioning of the roller blind with the available solar radiation as external disturbance is the subject of this paper.

[1]  Jan Jantzen,et al.  Design Of Fuzzy Controllers , 1998 .

[2]  V. Lampret,et al.  Luminous flux and luminous efficacy of black-body radiation: An analytical approximation , 2002 .

[3]  Peter Cheeseman,et al.  Fuzzy thinking , 1995 .

[4]  Athanasios Tzempelikos,et al.  A methodology for simulation of daylight room illuminance distribution and light dimming for a room with a controlled shading device , 2002 .

[5]  Tadj Oreszczyn,et al.  Occupant control of passive systems: the use of Venetian blinds , 2001 .

[6]  James H. Lambert,et al.  A Methodology for , 2000 .

[7]  Andreas K. Athienitis,et al.  Workplane illuminance prediction method for daylighting control systems , 2003 .

[8]  E. H. Mathews,et al.  Building and environment—The way forward , 1996 .

[9]  Zong-Mu Yeh,et al.  A systematic approach for designing multistage fuzzy control systems , 2004, Fuzzy Sets Syst..

[10]  Bart Kosko Fuzzy thinking , 2018, New Scientist.

[11]  An-Seop Choi,et al.  Development of a daylight responsive dimming system and preliminary evaluation of system performance , 2000 .

[12]  Igor Škrjanc,et al.  Theoretical and experimental FUZZY modelling of building thermal dynamic response , 2001 .

[13]  J. A. Crabb,et al.  An artificial intelligence approach to the prediction of natural lighting levels , 1997 .

[14]  Tadj Oreszczyn,et al.  Erratum to “Occupant control of passive systems: the use of venetian blinds” [Building and Environment 36 (2001) 149–155] , 2001 .

[15]  Stephen Selkowitz,et al.  Thermal and daylighting performance of an automated venetian blind and lighting system in a full-scale private office , 1998 .

[16]  Frank Klawonn,et al.  Foundations of fuzzy systems , 1994 .

[17]  Frank Klawonn,et al.  Design of Fuzzy Controllers , 2006 .

[18]  Antoine Guillemin,et al.  An innovative lighting controller integrated in a self-adaptive building control system , 2001 .

[19]  Isaac Guedi Capeluto The influence of the urban environment on the availability of daylighting in office buildings in Israel , 2003 .

[20]  D. Kolokotsa,et al.  Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal–visual comfort and indoor air quality satisfaction , 2001 .