Ali Newaz Bahar; Mrinal Kanti Baowaly; Abhijit Chakraborty

An Intelligent Approach of Regulating Electric Fan Adapting to Temperature and Relative Humidity

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Author(s)

Ali Newaz Bahar ^1,* Mrinal Kanti Baowaly ² Abhijit Chakraborty ²

1. Institute of Information Technology, University of Dhaka, Bangladesh

2. Department of Computer Science and Telecommunication Engineering, Noakhali Science and Technology University, Bangladesh

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2012.07.08

Received: 3 Jul. 2011 / Revised: 25 Nov. 2011 / Accepted: 16 Feb. 2012 / Published: 8 Jun. 2012

Index Terms

Fuzzy logic, controller, inference system, fuzzy rules, curve fitting tools, relative humidity

Abstract

In our daily lives, we enjoy the service of thousands of devices and systems that have made our lives easier and more comfortable. 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 living 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 environment and its relative humidity. 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 implemented on hardware level, since fuzzy logic toolbox provides such facility.

Cite This Paper

Ali Newaz Bahar, Mrinal Kanti Baowaly, Abhijit Chakraborty, "An Intelligent Approach of Regulating Electric-Fan Adapting to Temperature and Relative Humidity", International Journal of Intelligent Systems and Applications(IJISA), vol.4, no.7, pp.61-69, 2012. DOI:10.5815/ijisa.2012.07.08

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International Journal of Intelligent Systems and Applications (IJISA)