Design And Simulation Of An Intelligent Fuzzy Logic Controlled Electronic Thermostat

This paper outlines the proposal for the design of an intelligent electronic thermostat that achieves control by means of fuzzy logic, with the view of bringing about greater comfort by imitating human reasoning, and more efficient utilization of power. A cheap low cost microcontroller would be used for the implementation of this design. Ambient conditions that influence the perception of temperature serve as inputs to the thermostat and the output is automated and put into effect in temperature adjustment. Program development is to be broken into five parts namely fuzzification, inference, composition and defuzzification and this will be carried out using Inform® software FuzzyTECH®. Automatic decision making of the controller is based on a set of rules generated by the program. After specifying the relationship between the inputs and outputs, a certain number of rules will be generated on which to base decisionmaking. The number of rules is likely to be high, which will make decision making unpredictable so the system has to be fine-tuned to reduce the number of rules. The behaviour of the thermostat based on the new set of rules generated, will demonstrate the ability of the thermostat to imitate human reasoning and save on power consumption.