Neurofuzzy controller in automated climatization for poultry houses

Presents a neurofuzzy controller (NFC) based on the Takagi-Sugeno fuzzy model for use in non-linear plants when complexity does not allow setting a good mathematical model for the system. A comparisons was made between a neurofuzzy controller and a neural controller based on the multi-layer-perception network. Conclusions were drawn from a prototype of a poultry house climatization system in a 1:17 laboratory scale. The results show excellent performance of the proposed controller due to an easy incorporation of the human specialists´ knowledge and the learning capacity of the artificial neural network