Abstract
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.
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