Study on modified particle swarm optimization for indoor lighting control

In order to simultaneous meet the requirements of indoor lighting comfort and minimum energy consumption, the intelligent control strategy is studied, which apply the natural light and best combination of lighting lamps in the indoor lighting. The modified particle swarm optimization (PSO) algorithm is introduced. The system combines natural light with artificial lighting. The comfort function is established in the system. The particle swarm optimization algorithm with constraint condition is used to search the best brightness combination of lighting equipment. At last, the goal of energy saving can be achieved while meeting the comfort and personalized needs of the staff. The MATLAB simulation results show that the modified PSO can avoid the local optimal solution in the optimization. Finally, the experimental platform of indoor lighting system is built, and the effectiveness of the control strategy is verified. The calculation shows that the energy consumption of one day is about 47%, and it has good energy saving effect.