Fuzzy control of temperature and humidity microclimate in closed areas for poultry breeding

Abstract

This contribution describes the ways of temperature and humidity microclimate control in breeding areas using a fuzzy controller. It is focused on poultry, whereby the most important parameters for optimal breeding are temperature and humidity. The main aim was to evaluate the control process according to control quality in the controller's steady state and the power consumption of the system. The used control algorithm was designed in the Matlab application, and it was practically verified in a closed thermodynamic system. Practical measurements have shown that with an increasing number of fuzzy controller's interference rules a better control quality in steady states and lower power consumption of the system is achieved.

Keywords

• fuzzy algorithm
• control quality
• thermoregulation