Research On Intelligent Lighting System And Control Strategy

With the rapid development of economy in our country,we are confronted by the issues such as serious energetic shortage and environmental pollution.Accordingly,with the rapid development of the real estate industry,the proportion of building energy consumption in the total energy consumption is increasing.The lighting control of most buildings still adopts the traditional control methods,which wastes a lot of energy to a certain extent.As the life quality improves,the supply of electric power becomes rather tight.Building lighting electricity accounts for more than 30% of building energy consumption,and continues to improve.If intelligent lighting control algorithm is adopted,we can create a better lighting environment,avoid excessive lighting and achieve our goal of saving energy.This paper will research on the intelligent lighting system and control strategy,with the purpose of satisfying people's demand of indoor illumination and avoiding excessive lighting.Not only saves energy,but also reduces visual fatigue and improves work efficiency.We optimal predictive control algorithm and propose an adaptive lighting control strategy based on predictive control and verify the effectiveness of the proposed control strategy with the intelligent lighting experiment platform.In this paper,firstly,according to the requirements of adaptive dimming,we design the software and hardware of the lighting system and study the dimming principle of LED.Secondly,with the existing lighting control strategy,this paper proposes an adaptive lighting control strategy based on predictive control algorithm.We study predictive control algorithm and optimization this algorithm,which the computational complexity and the anti-interference ability are limited.The attenuation coefficient is introduced to simplify the calculation of the algorithm,and the dynamic optimization parameters can improve the anti-interference ability of the algorithm.Compared with the original predictive control algorithm,the execution speed and anti-interference ability of the improved algorithm have been significantly improved.Considering the uncertainty of natural light and other uncertainties,the predictive control algorithm is applied to the lighting system to achieve the purpose.Finally,we design a series of illumination experiments and compared with the PID dimming experiments.The dimming experiments prove that the dimming effect and anti-interference ability of the improved algorithm are better than that of PID?Through the dynamic optimization experiments,when the set illumination is reached,compared with the maximum energy consumption of indoor lamps,the lighting control can reduce the energy consumption of lighting lamps more than 40%.The results of these experiments verify the effectiveness and rationality of control strategy proposed in this paper,to create a good lighting environment,while avoiding excessive lighting.