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Design of Intelligent Lighting Controller Based on Fuzzy Control

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Advanced Intelligent Technologies for Industry

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 285))

Abstract

Aiming at the problems of excessive energy waste and serious light pollution in traditional lighting system, this paper proposes an intelligent lighting control system based on fuzzy logic control algorithm and ZigBee wireless communication technology. The system uses the illuminance sensor to detect the environmental illuminance information in real time, and provides the data source for the fuzzy logic controller. At the same time, the collected data information is uploaded to the monitoring center through ZigBee communication technology. In this paper, the fuzzy controller of intelligent lighting system is designed, and the corresponding fuzzy control rule table and fuzzy control query table are obtained. By querying the fuzzy control table, different PWM duty cycles are output under different illumination errors, so as to control the brightness adjustment of LED lamp. The simulation results show that the algorithm basically achieves the expected effect, and has good control ability.

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References

  1. Wang, H.F.: Changes in world energy supply and demand from world energy statistical yearbook. Energy Res. Util. 4, 8–9 (2013)

    Article  Google Scholar 

  2. Tahan, M., Hu, T.: Multiple string LED driver with flexible and high performance PWM dimming control. IEEE Trans. Power Electron. 12, 1–1 (2017)

    Google Scholar 

  3. Li, S., Guo, Y., Tan, S.C., et al.: An off-line single-inductor multiple-output LED driver with high dimming precision and full dimming range. IEEE Trans. Power Electron. 32(6), 4716–4727 (2017)

    Article  Google Scholar 

  4. Zheng, Q.L., Lin, W.M.: A dimming strategy and implementation of LED drive power supply combination. J. Power Supply 4, 71–75 (2013)

    Google Scholar 

  5. Lin, H.J., Lai, X.Q., Lan, H.: Adaptive control method of LED lighting intensity. J. Electron. Meas. Instrum. 30(6), 887 (2016)

    Google Scholar 

  6. Yao, S., Jiang, N. P.: Simulation study of PID controller based on fuzzy control theory. Comput. Syst. Appl. 20(10), 125–128 (2011) (in Chinese)

    Google Scholar 

  7. Zhao, Z.M., Li, Q.Q., Wang, R.L.: Application of wireless sensor network and fuzzy control in lighting system. J. Light. Eng. 25(2), 102–106 (2014)

    Google Scholar 

  8. Wu, Y., Jiang, J.G.: Energy-saving lighting control system based on fuzzy control. Ind. Mining Autom. 6, 84–87 (2005)

    Google Scholar 

  9. Jin, Q., Deng, Z. J.: PID control principle and parameter setting method. J. Chongqing Inst. Technol. (Natural Science edition) 5, 91–94 (2008)

    Google Scholar 

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Zheng, T., Peng, Y., Yang, Y., Liu, Y. (2022). Design of Intelligent Lighting Controller Based on Fuzzy Control. In: Nakamatsu, K., Kountchev, R., Patnaik, S., Abe, J.M., Tyugashev, A. (eds) Advanced Intelligent Technologies for Industry. Smart Innovation, Systems and Technologies, vol 285. Springer, Singapore. https://doi.org/10.1007/978-981-16-9735-7_37

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