Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed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. 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. Preprints 2022, 2022090269. 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

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