The Application of Fuzzy Expert Cooling System for Multi Core Microprocessors and Mainboards

The aim of this study is to construct an effective fuzzy logic based control system for multi core (core2duo) microprocessors and mainboards. Fuzzy Expert System (FES) software was developed in C#.net programming language for controlling the cooling mechanisms of the microprocessor and the mainboard cooling systems. Fuzzy Expert Systems were constructed for controlling the power delivered to CPU and mainboard cooling fans. The CPU cooling FES consists of three inputs named as CPU temperature, CPU Frequency and CPU Core voltage. The output of this FES calculates the optimum speed of microprocessor fan and sends the speed value to the electronic fan driver circuit via serial port. The mainboard cooling FES consists of two inputs named as CPU temperature and the Mainboard temperature. This FES calculates the optimum fan speed and controls the power delivered to the chassis fans via electronic fan driver circuit connected to the serial port of the computer. Safe, effective and silent cooling systems were realised by using the FES. In addition to all of these, CPU can be used more efficiently and the effective performance (speed) of the computer can be raised.