An Intelligent Approach of Regulating Electric-Fan Adapting to Temperature and Relative Humidity
Ali Newaz Bahar, Mrinal Kanti Baowaly, Abhijit Chakraborty · International Journal of Intelligent Systems and Applications · 2012
In our daily lives, we enjoy the service of thousands of devices and systems that have made our lives easier and more co mfortable.Electric fan is one of the most popular and used systems in developing countries like Bangladesh for its cost effectiveness and low power consumption.In the era of twenty -first century we expect all of our liv ing and working systems will be intelligent when it will provide the service.We have developed a fuzzy inference system that effectively and intelligently controls the rotating speed of an electric fan according to the temperature of environ ment and its relative hu mid ity.We used experimental data and verified the experimental data with different mathematical procedure to ensure that our result is well enough.We designed a simulation system to test the result but it can be easily imp lemented on hardware level, since fuzzy logic toolbox provides such facility.