Study on temperature and humidity coupling control of plant factory based on ANFIS

Abstract

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.