Autors: Nikolov, G. T., Ganev, B. T.
Title: Fuzzy Control of Relocatable Lighting System
Keywords: fuzzy control; fuzzy system designer; intelligent lighting; Abstract: With the improvement of technology and the concept of the Internet of Things, more and more attention is being performed to intelligent control systems. Many mathematical models and processing of big data sets are applied. In this paper, an approach for implement mobile lighting control system based on fuzzy logic is proposed. The system consists of illuminance sensors, low-cost wireless controllers and is built using the LabVIEW graphical programming environment. References - 1. Ponce-Cruz P, Ramírez-Figueroa FD. Intelligent control systems with LabVIEW™ In: Intelligent Control Systems with LabVIEW™. ; 2010 p. 1-216. DOI: 10.1007/978-1-84882-684-7 2. Odry A, Tadic VL, Odry P. A stochastic logic-based fuzzy logic controller: First experimental results of a novel architecture. IEEE Access. 2021;9:29895-920. 3. OPT3001 Ambient Light Sensor (ALS). 2017 4. Azizi M, Talatahari S, Sareh P. Design optimization of fuzzy controllers in building structures using the crystal structure algorithm (CryStAl). Adv Eng Inf. 2022;52 5. Espressif Systems. 2020 6. Sivakumar R, Balu K. Design and Development of Fuzzy Controllers for Mimo Systems: Modelling, Control and Application. 2013 7. Saravanan K, Muthu Prabhu N, Raja Rajeswari B. Fuzzy controller design of lighting control system by using VI package. International Journal of Scientific and Research Publications. 0000;4(1)
Issue
| 31st International Scientific Conference Electronics, ET 2022, 2022, Bulgaria, DOI 10.1109/ET55967.2022.9920257 |
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