| With the rapid development of information technology and the continuous progress of society, people’s demand for high efficiency control and functional diversification of lighting is also rising. The intelligent lighting system came into being. Intelligent lighting system which makes full use of electronic technology, communication technology and computer network technology connects all kinds of lighting equipment in the building. It can realize effective management and control, and has the advantages of saving energy, improving the quality of lighting and prolonging the life of the lighting equipment etc.The control mode of the existing intelligent home lighting system can only be operated in an automatic mode, which can only be operated in accordance with the preset control rules and methods, When the surrounding environment changes, the system will be out of control, Humanized service is poor, so it is of great significance to study a flexible and stable home lighting control technology for intelligent lighting.In view of the deficiency of the existing home lighting system, this paper studies a kind of intelligent lighting control platform which can adjust the light and energy saving. Building a model of the housing contraction ratio and the intelligent lighting control platform based on MSP430F5438 mcu. The ratio of the model is 20:1, and the size of the model is 300mm* 200mm* 150mm. Intelligent lighting control platform is divided into hardware part, software part and PC control algorithm. Software and hardware part is mainly responsible for the collection of light illumination, through the serial port to transmit the light value to the host computer, and then through the serial port to send control commands, adjust the brightness of LED lights to control the size of indoor light illumination. PC control algorithm mainly studies the principle and control characteristics of backstepping control and gradient optimization, and then the two algorithms are simulated and analyzed by Simulink. The results show that the two algorithms can achieve the extreme value search of light illumination control and minimum energy consumption, which can be applied to the intelligent home lighting control system.System test results show that the intelligent lighting control system can realize the adjustment of the housing model internal illumination control, The LED lamp is divided into the experiment, to achieve the minimum energy consumption of the extreme search, with the minimum energy consumption combination to achieve the best lighting effect, when the surrounding environment changes, the system can be stable operation. |