Automatic Daylight Control System based on Neural Estimator
| Autor: | Horaţiu-Ştefan Grif |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Engineering
estimation Artificial neural network Iterative method business.industry daylight control Control (management) Process (computing) Control engineering Lighting control system Control system General Earth and Planetary Sciences Transient (computer programming) Daylight illuminance business artificial neural network General Environmental Science |
| Zdroj: | Procedia Technology. 12:759-765 |
| ISSN: | 2212-0173 |
| DOI: | 10.1016/j.protcy.2013.12.560 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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