Intelligent Control of Solar LED Streetlamp Based on Adaptive Fuzzy PI Control

Abstract

INTRODUCTION: As road traffic develops, energy-saving and efficient street lights have become a key research field for relevant professionals. OBJECTIVES: To reduce streetlights energy consumption, a fireworks algorithm is used to optimize the membership function parameters of fuzzy control and the initial parameters of PI control. METHODS: A fireworks algorithm improved adaptive fuzzy PI solar LED street light control system is designed. RESULTS: The results showed that in the calculation of Root-mean-square deviation and mean absolute error, the Root-mean-square deviation of the adaptive fuzzy PI control system improved by the fireworks algorithm was 0.213, 0.258, 0.243, 0.220, and the Mean absolute error was 0.143, 0.152, 0.154, 0.139, respectively, which proved that the prediction accuracy was high, and the stability was good. In the calculation of the 1-day power consumption of the solar LED intelligent control system, the average power consumption of the designed solar LED intelligent control system was about 2000W, which was 25.9%, 47.4%, and 42.9% lower than the other three control methods, respectively. CONCLUSION: This proves that its energy consumption is low, and its heat generation is low, and the battery service life is long. The research and design of an adaptive fuzzy PI control solar LED street light intelligent control system has good performance, which can effectively achieve intelligent management and energy conservation and emission reduction in smart cities.