Application Of Particle Swarm Optimization PID Control On Intelligent Lighting System Research

In recent years, with the increasing of tall buildings in our country, especially the office buildings, luxury hotels and high-level residence, the energy consumption of traditional architectural lighting system is relatively large, the real-time adjustment for the illumination of lanterns, indoor curtain and etc. cannot be conducted based on the current indoor illumination, and the control mode is too simple to satisfy the growing demands of people to the environment, atmosphere and purpose of illumination.In the field of intelligent building, illumination system energy consumption has always been an important part of building energy consumption, according to scientific studies show that Lighting energy consumption accounts for over 27% of the building total energy consumption in China. Nowadays, the world energy gradually dried up, building energy saving problem become more prominent. In the thesis, in order to solve the problem of system energy consumption, make natural light enter the indoor mixed with artificial light, to achieve the goal of energy saving. In order to meet the requirements of different rooms for illumination autonomous system, the thesis adopts PID controller to control lighting system and shade system, by adjusting the PID control of proportion, integral and differential three variables, can be more accurate to hierarchical control of illumination, in order to meet different needs. Due to selection of PID parameters is the important indexes of the stand or fall on the system, so the thesis introduce Particle Swarm Optimization (PSO) algorithm, it has the advantage of self-optimizing control, can be make the lighting control system can be completed faster preset control, and through the analysis of PSO algorithm, further optimization, make the system run faster, reliable and more energy efficient.In the thesis, the main work is as follows:(1) To mixed natural light and artificial lighting. Under the premise of meet the eye’s comfort to auto adjustment the louver angle and height.(2) Optimization of luminance combination control lamps. Using the data of optical sensor acquisition and controlled by PID.(3) Through the PSO optimization the PID parameters, and through the process of optimizing the selection and optimization of initial population, to avoid falling into local optimum conditions.(4) Design the system, simulation tests are carried out by computer, through a comprehensive analysis of the results, a clear research direction in the future.As the global depletion of non-renewable resources, energy crisis, energy industry has also exposed many problems in China. To response the challenge, for the benefit of the future generation, in the aspect of building illumination, the intelligent automatic adjusting lighting system with greater energy conservation potential will become the focus of the future development, which is the theory significance and practical value of the thesis.