Estrada Cruz, Edgar | Insitituto Tecnologico Superior del Occidente del Estado de Hidalgo |
Barrera Gonzalez, Ismael | Insitituto Tecnologico Superior del Occidente del Estado de Hidalgo |
Lozano Hernández, Braulio | Insitituto Tecnologico Superior del Occidente del Estado de Hidalgo |
https://doi.org/10.58571/CNCA.AMCA.2023.038
Resumen: The depletion of energy resources have made saving energy a challenge in recent decades. One of the main components of energy consumption is lighting, it represents up to 20% of total energy consumption in the world; the largest amount consumed in residential and commercial buildings. Led technology, due to its characteristics of long life, high efficiency, low consumption and dimming capacity, has become an alternative to illuminate spaces. This work proposes a control scheme for LED lamp lighting with a double control loop, proportional- derivative in the internal loop and integral in the external one, based on the mathematical model in the absence of external lighting. In addition, the tuning strategy for the controller gains is proposed based on the design parameters of the standard second-order system. Through simulation it is shown that the tuning of the control strategy is adequate.
¿Cómo citar?
Estrada Cruz, Edgar; Barrera Gonzalez, Ismael; Lozano Hernández, Braulio. Proportional-Derivative Plus Integral Controller Tuning for Led Lighting Based on the Mathematical Model. Memorias del Congreso Nacional de Control Automático, pp. 296-300, 2023. https://doi.org/10.58571/CNCA.AMCA.2023.038
Palabras clave
Control Clásico; Control de Sistemas Lineales; Sistemas Electromecánicos
Referencias
- Al-Ghaili, A.M., Kasim, H., Al-Hada, N.M., Othman, M., and Saleh, M.A. (2020). A review: Buildings energy savings – lighting systems performance. IEEE Access, 8, 76108-76119.
- Chen, S.Y., Zhang, J., Zhang, H., Kwok, N.M., and Li, Y.F. (2012). Intelligent lighting control for vision-based robotic manipulation. IEEE Transactions on Industrial Electronics, 59(8), 3254-3263.
- Chinchero, H.F. and Alonso, J.M. (2020). A review on energy management methodologies for led lighting systems in smart buildings. In 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), 1-6.
- Gorgulu, S. and Ekren, N. (2013). Energy saving in lighting system with fuzzy logic controller which uses light-pipe and dimmable ballast. Energy and Buildings, 61, 172-176.
- Konstantzos, I., Sadeghi, S.A., Kim, M., Xiong, J., and Tzempelikos, A. (2020). The effect of lighting environment on task performance in buildings – a review. Energy and Buildings, 226, 110394.
- Kurian, C., Aithal, R., Bhat, J., and George, V. (2008). Robust control and optimisation of energy consumption in daylight—artificial light integrated schemes. Lighting Research & Technology, 40(1), 7-24.
- Lobato-Ríos, V., del Rocío Hernández-Castañón, V., Carrasco-Ochoa, J.A., and Martínez-Trinidad, J.F. (2016). Linear model optimizer vs neural networks: A comparison for improving the quality and saving of led-lighting control systems. In 2016 23rd International Conference on Pattern Recognition (ICPR), 2664-2669.
- Nise, N.N. (2019). Control Systems Engineering.
- Pandharipande, A. and Caicedo, D. (2013). Adaptive illumination rendering in led lighting systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 43(5), 1052-1062.
- Pompei, L., Blaso, L., Fumagalli, S., and Bisegna, F. (2022). The impact of key parameters on the energy requirements for artificial lighting in italian buildings based on standard en 15193-1:2017. Energy and Buildings, 263, 112025.
- Santamouris, M. (2019). Minimizing Energy Consumption, Energy Poverty and Global and Local Climate Change in the Built Environment: Innovating to Zero. UK.
- Sener (2016). Balance nacional de energ´ıa. Technical report.
- Wen, Y.J. and Agogino, A.M. (2008). Wireless networked lighting systems for optimizing energy savings and user satisfaction. In 2008 IEEE Wireless Hive Networks Conference, 1-7.
- Congreso Nacional de Control Automático 2023, 25-27 de Octubre, 2023. Acapulco, Guerrero, México. 300