PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting
Version 1
: Received: 7 September 2022 / Approved: 19 September 2022 / Online: 19 September 2022 (07:53:32 CEST)
How to cite:
M.A.S. Mahmoud, M. ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting. Preprints2022, 2022090269. https://doi.org/10.20944/preprints202209.0269.v1
M.A.S. Mahmoud, M. ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting. Preprints 2022, 2022090269. https://doi.org/10.20944/preprints202209.0269.v1
M.A.S. Mahmoud, M. ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting. Preprints2022, 2022090269. https://doi.org/10.20944/preprints202209.0269.v1
APA Style
M.A.S. Mahmoud, M. (2022). ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting. Preprints. https://doi.org/10.20944/preprints202209.0269.v1
Chicago/Turabian Style
M.A.S. Mahmoud, M. 2022 "ANN Controller Design and Comparison with Other Equivalent Controllers for Low Cost Sustainable and Precise IndoorLighting Design Using Simultaneous Dual Control to Adjust Artificial Lighting and Daylight Harvesting" Preprints. https://doi.org/10.20944/preprints202209.0269.v1
Abstract
This article is a continuity of prevouse two reserch in daylight harvastion control that were deigned using classical control apoproach and then fuzzy logic technique, In this article ANN controller is designed and its response is compared with the performance of the other two controllers. Detailed compression for the different error type is illustrated, however, the results show that the three controller operate with satisfactory accuracy.
Keywords
ANN controller; 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.