STABLE ENERGY SAVING ADAPTIVE CONTROL SCHEME FOR INDUSTRIAL PLANT LIGHTING

摘要

In order to improve the safety, comfort and energy-saving requirements of industrial plant lighting, this paper proposes a stable nonlinear adaptive industrial plant lighting energy-saving control scheme. The proposed fuzzy neural network controller takes the illuminance value, the outdoor brightness value and the illumination power density as the input quantity, and the illuminance adjustment value as the output quantity. According to the energy saving control standard and the expert experience, the control strategy is adopted to adaptively adjust the illumination value of the industrial plant, meet the illuminance indicators required for industrial production, and achieve the goal of low carbon, green and energy saving. The simulation and test of the control system show that the control system can achieve the goal of adaptively adjusting the average illumination of the industrial plant and saving energy, and has the advantages of low cost, simple structure and strong engineering.