Performance Evaluation of Mamdani-type and Sugeno-type Fuzzy Inference System Based Controllers for Computer Fan

Philip A. Adewuyi
2012 International Journal of Information Technology and Computer Science  
Nowadays, there are several models of computer systems finding their ways into various offices, houses, organizations as well as remote locations. Any slight malfunction of the computer system's components could lead to loss of vital data and informat ion. One of the sources of computer system malfunction is overheating of the electronic co mponents . A common method of cooling a computer system is the use of cooling fan(s). Therefore, it is essential to have an appropriate control mechanism
more » ... the operation of computer system's cooling fan in o rder to save energy, and prevent overheating. Failure to adopt a well designed and efficient perfo rmance controller could lead to the malfunction of a co mputer system. Presently, most controllers in co mputer systems are pulse width modulation based. That is, they make use of pulses in form of dig its, 0 and 1. It was observed that inherent noise is still prevalent in the operation of computer system. Also, eventual breakdown of co mponents is common. A new approach is therefore investigated through the use of fuzzy logic to serve as a base or platform to build an intelligent controller using a set of well defined rules to guide its operational performance. Mamdani-type fuzzy inference system and Sugeno-type fuzzy inference system were used with two input sets each and a single output function each. Simu lat ion was carried out in MATLA B R2007a platform and operational performances of the two approaches were compared. Simu lated results of the performances of the Mamdani-type fuzzy inference system based controller and the Sugeno-type fuzzy inference system based controller are presented accordingly.
doi:10.5815/ijitcs.2013.01.03 fatcat:47eq6spttbcnrhkkeyudr7ebkq