PLC-Based Intelligent Home Control System
This paper presents an intelligent home control system based on PLC. The system combines the BP neural network algorithm with the traditional PID algorithm. The proposed algorithm has better dynamic performance, faster adjustment speed, and smaller overshoot. It can track to control and adjust the complex and nonlinear data with a higher standard. At the same time, the overall design plan of the system is described in details. The system designed in this paper provides a good reference for the practical application of intelligent home.
KeywordsIntelligent home control system PLC Improved BP neural network
The work was supported by the “13th Five-Year” Science and Technology Research Project of the Department of Education, Jilin Province, China with grant no.  143.