Design of an embedded fuzzy PD controller for thermal comfort applications

In this paper, a reasoning-based intelligent system makes use of fuzzy control approach, which is designed for thermal comfort applications by using an embedded microcontroller system. In general, it is not possible to implement the mathematical thermal comfort models in actual environment. Thermal comfort usually depends on four environmental parameters and two personal parameters. Normally, only air temperature and humidity could be controlled in conventional heating ventilation and air conditioning (HVAC) systems. Managing and controlling the temperature and humidity parameters are very important for creating healthy living and comfortable working places. As known, fuzzy logic allows complex control system design directly from human experience. Therefore, preferring fuzzy model-based control systems to traditional ones may provide valuable advantage in applications requiring different control strategies for personal choices like thermal comfort control in buildings. So, in this paper, a comfortable fuzzy control system is investigated and performance of this suggested system is tested by Proteus virtual system modelling software. As a result, success of system is founded acceptable from view of the thermal comfort