PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight
Version 1
: Received: 28 August 2022 / Approved: 29 August 2022 / Online: 29 August 2022 (08:09:55 CEST)
How to cite:
M.A.S. Mahmoud, M. MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight. Preprints2022, 2022080475. https://doi.org/10.20944/preprints202208.0475.v1
M.A.S. Mahmoud, M. MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight. Preprints 2022, 2022080475. https://doi.org/10.20944/preprints202208.0475.v1
M.A.S. Mahmoud, M. MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight. Preprints2022, 2022080475. https://doi.org/10.20944/preprints202208.0475.v1
APA Style
M.A.S. Mahmoud, M. (2022). MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight. Preprints. https://doi.org/10.20944/preprints202208.0475.v1
Chicago/Turabian Style
M.A.S. Mahmoud, M. 2022 "MIMO Fuzzy Logic Controller for Accurate Sustainable Indoor-Lighting Design Using Simultaneous Dual Control to Adjust LEDs Lighting System and Roller Blinds’ Opening to Control the Daylight" Preprints. https://doi.org/10.20944/preprints202208.0475.v1
Abstract
This paper is an extension to previous work that introduced successful classical-control for indoor lighting system that simultaneously control LED system and roller curtain to achieve accurate light intensity for indoor lighting applications. In this paper, Multi Input Multi Output Fuzzy Logic Controller (MIMO FLC) is proposed to replace the classical-controller. Detailed method is provided to illustrate the steps to design the required MIMO FLC that has two fuzzy input, two fuzzy output and forty-five fuzzy rules with mamdani fuzzy engine. The proposed MIMO FLC is simulated in Matlab using Simulink tools. The results are illustrated, analyzed and compared with the classical-control. The response showed very close performance to the classical-controller. The maximum average error and the maximum error with respect to “Desired Lux” inside the room is -6% and -10% respectively.
Keywords
Fuzzy logic controller, Lighting control, Smart lighting control, Green buildings, Building automation, Daylight harvesting
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
