Analysing the Effect of Temperature and Humidity on AC Compressor Speed Using Fuzzy Control over CAN Communication

Design of an autonomous in vehicle air conditioning system using fuzzy rule based is proposed in this paper. An air conditioning system, presently involves frequent starting and stopping of the compressor for desired temperature. However the desired compressor speed of the AC in the vehicle is depends on number of factors such as change in temperature and humidity of the environment throughout the day. Therefore, intelligent system using multiple CAN based sensors is proposed which measures the user temperature and humidity inside the vehicle. These input parameters are then used to control compressor speed which involved in decision making using Mamdani type of fuzzy inference system. Data driven CAN based fuzzy system is employed to get the crisp values of different controlling parameters.