Experiment and Control Model Research on Ambient Temperature of Pig House Based on Adaptive Neural Fuzzy Inference System

摘要

The ambient temperature of pig house is one of the most influential environmental factors for pig's life. It is necessary guarantee to provide appropriate ambient temperature by regulating real-timely. According to the multi-variable and nonlinear characteristic of microclimate environment for pig house, this paper proposed the ANFIS adaptive neural fuzzy control model to control the ambient temperature real-timely for pig house based on T-S model. The experience obtained that the output and test RMS error can reached 0.43 × 10~(-3) and 0.19 × 10~(-2) respectively, which show clearly the established ANFIS control model meet the actual demand for temperature control, then it can offered theoretical basis in engineering application.