ABSTRACT
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
- Zhu, J., Fuzzy Control Principle and Application, Publishing House of Mechanic Industry, Beijing, 1995.Google Scholar
- http://www.extremeoverclocking.com, Last access April 2009.Google Scholar
- Liu, S. and etc., Fuzzy Control Technology, Publishing House of China Textile, Beijing 2001.Google Scholar
- Lim, P. K., and Spooner, N. R., Climatic Control of Storage Chamber using fuzzy Logic, Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems, IEEE, 1995. Google ScholarDigital Library
- Kazeiman H. B., "Developments of fuzzy PID controllers" Expert Systems, Vol. 22, No 5, 2005.Google Scholar
- Kaur, G., Chauhan, A., Subramanyam, P. V., Fuzzy Logic Temperature Controller, International Conference on Granular Computing, Vol. 2, No 492--495, 2005.Google Scholar
- Kazemian, H. B., Developments of Fuzzy PID Controllers, Expert Systems, Vol. 2, No 5, 2005.Google Scholar
- Baykal N., Beyan, T., Fuzzy Logic, Expert Systems and Controllers (in Turkish) Bicaklar Press, Ankara, 2004.Google Scholar
- Allahverdi, N., Expert Systems. An Artificial Intelligence Application (in Turkish), Atlas Press, Istanbul, 2002.Google Scholar
- Ross, T. J., Fuzzy Logic with Engineering Applications, Mc. Graw Hill, New York, 1995.Google Scholar
Index Terms
- The application of fuzzy expert cooling system for multi core microprocessors and mainboards
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