Abstract
The automatic daylight control system represent an automatic lighting control system that tray to maintain constant the desired level of illuminance on the working plane (i.e. the desk surface) even the daylight contribution is variable during the day time. The paper presents the implementation of an automatic daylight control system based on an artificial neural network regulator. Using the past inputs and outputs of the process, the regulator is trained in on-line manner to generate the new command which will be applied to the process. The author proposes a control algorithm - titled by the author as Control by Estimation Iterative Algorithm – that allow to the automatic lighting control system to achieve the desired illuminance. Also, the author proposes a way to reduce the transient period of the automatic lighting control system response.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
