DESIGN AND CONTROL OF AUTONOMOUS AIR CONDITIONING SYSTEM USING FUZZY LOGIC CONTROLLER

Abstract

Air conditioning is a process of removing heat and moisture from the interior of an occupied space to improve the comfort occupants. This project aims to design and control fuzzy logic based autonomous room air cooling system. The rule base receives two crisp input values from temperature and humidity sensors, divides the universe of discourse into regions with each region containing two fuzzy variables, fires the rules, and gives the output singleton values corresponding to each output variable. Two defuzzifiers are used to control the actuators; cooler fan and water pump. MATLAB-simulation is used to achieve the designed goal and the results obtained from the simulation were found correct according to the design model. Since this project uses fuzzy logic controller it has an advantage in providing a great and successful controlling action that compensates difficult nonlinear characteristics. The simulation result show that the overall system output performance can be improved using the proposed fuzzy logic governor, the fuzzy logic controller resulted less percentage overshoot (0.496%), settling time (0.5) and less rise time (345.37)