文献类型： 会议论文

第一作者： Liu Jiayao

作者： Liu Jiayao ¹ ; Guo Xiaokun ² ; Liu Yong ² ; Hu Wenwen ² ; Xu Shipu ² ; Wang Yunsheng ² ;

作者机构： 1.Department of Railway Transportation, Shanghai Institute of Technology, Shanghai, China

2.Institute of Agricultural Information Science and Technology Shanghai Academy of Agricultural Sciences, Shanghai, China

关键词： Temperature measurement;Couplings;Temperature distribution;Biological system modeling;Crops;Humidity;Control systems

会议名称： IEEE International Conference on High Performance Computing and Communications

主办单位：

页码： 1869-1874

摘要： In this study, based on the traditional temperature and humidity control system, fully considering the coupling relationship between temperature and humidity in plant factory, designed a decoupling control system of temperature and humidity in plant factory based on adaptive Neuro-fuzzy inference system (ANFIS). The control system can real-time measurement of the temperature and humidity inside the factory, the operator can use the control system according to the types of crops and different growth stages, the temperature and humidity control within the plant factory, within the range of the most suitable for plant growth and development of the ecological environment of the plant growth and create the most suitable, shorten the growth period of plant, increase crop yield, higher economic value. In this paper, the ANFIS-based input-output model is used to optimize the membership function of the fuzzy system, which makes the control system more stable and the control speed more sensitive. The experimental results are compared with the conventional fuzzy controller, and it is found that the ANFIS model can make the system get better performance.

分类号： tp3