Design and Analysis of Fuzzy Logic Model for the Control of Compressor Motor Speed of An Air Conditioning System

Abstract

Air conditioning is the most important aspect of increasing the thermal comfort and working efficiency of a human being. In an air conditioner, compressor is the component which alone consumes the 90% of the total energy consumption. Fuzzy logic is one of the most important methods for the control in robotics and automation now a day. This report presents the design and results from the analysis of the implementation of fuzzy logic control model on the compressor motor for its speed control. Analysis is done with the help of simulation in Matlab/Simulink. The model is based on a 1.5 ton air conditioner. It uses a 2HP, 3 phase induction motor, a 220V rectified single phase alternate current supply (means alternate current converted into direct current), fuzzy logic controller block, discrete Pulse Width Modulation Block and universal Bridge block. A comparison between the purposed model and the existing model shows that the proposed model is in compliance with them and is supposed to work faster. After comparison with the existing models the model is analyzed for three different target temperatures 20oC, 22 oC and 24oC. The air conditioner is started at the ambient temperature and the energy consumption is calculated till the target temperature is reached for the first time. And this energy consumption is compared with the conventional On/off air conditioner which we use at our homes. The comparison shows that the energy saved is quite significant. The energy consumed by the proposed system for target temperatures of 20oC, 22 oC and 24oC is found to be less by 36.29%, 49% and 41% less than what is consumed by the conventional On/Off air conditioning system