Air conditioning system with fuzzy logic and neuro-fuzzy algorithm

Abstract

Fuzzy logic controls and neuro-fuzzy controls are accustomed to increase the performance of air conditioning system. In this paper, we are trying to provide the new design air conditioning system by exploitation two logics, namely fuzzy logic and neuro-fuzzy management. This paper proposes a set of rule and uses 2 inputs specifically temperature and humidness and 4 outputs specifically compressor speed, fan speed, fin direction and mode of operation. These outputs are rule-based output. At last, compare simulation results of each system exploitation fuzzy logic and neuro-fuzzy management and notice the higher output.