# Intelligent Control System of Automobile Window Using Fuzzy Logic

Volume 5, Issue 2, pp 126 - 133
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### Authors

Seyyed Kamaloddin Mousavi Mashhadi - Iran University of Science and Technology, Faculty of Electric Engineering. Amir Aminian - Khorasan Institute of Higher Education. Mojtaba Shokohi Nia - Lecturer at the Faculty of Control Engineering of the Islamic Azad University, Damghan Branch

### Abstract

It has been attempted to develop an intelligent control system based on fuzzy logic to regulate height of automobile windows in this paper. An ATMega32 microcontroller is responsible for the system of fuzzy control programmed by Bascom AVR software. The control system involves two manual and automatic modes. In the automatic mode, there is no need to keep switch pressed for complete up and down functions of the window. Meanwhile, using the designed system is both convenient and accurate with the possibility to regulate position of the window after turning off the car. Another feature of this system is its sensitivity to carbon monoxide and carbon dioxide gasses. Whenever the extent of $CO$ or $CO_2$ gasses exceeds an allowable limit, the windows will automatically come down in order to prevent asphyxiation of passengers. Simulation was implemented by MATLAB using fuzzy logic and the obtained results were compared with those from fuzzy linear regression method.

### Share and Cite

##### ISRP Style

Seyyed Kamaloddin Mousavi Mashhadi, Amir Aminian, Mojtaba Shokohi Nia, Intelligent Control System of Automobile Window Using Fuzzy Logic, Journal of Mathematics and Computer Science, 5 (2012), no. 2, 126 - 133

##### AMA Style

Mashhadi Seyyed Kamaloddin Mousavi, Aminian Amir, Nia Mojtaba Shokohi, Intelligent Control System of Automobile Window Using Fuzzy Logic. J Math Comput SCI-JM. (2012); 5(2):126 - 133

##### Chicago/Turabian Style

Mashhadi, Seyyed Kamaloddin Mousavi, Aminian, Amir, Nia, Mojtaba Shokohi. "Intelligent Control System of Automobile Window Using Fuzzy Logic." Journal of Mathematics and Computer Science, 5, no. 2 (2012): 126 - 133

### Keywords

• regulating height of automobile window
• sensitivity to $CO$ and $CO_2$
• fuzzy linear regression
• MATLAB fuzzy logic.

•  62J86
•  93C42

### References

• [1] George J. Klir Bo Yuan, Fuzzy sets and Fuzzy Logic, Theory and application, prentice Hall PTR. (1995)

• [2] K. Tanaka, Introduction to Fuzzy Logic for Practical Applications, NY: Springer Press, New-York (1997)

• [3] C. Kim, K. Seong, H. Kwang, Design and implimentation offegcs: Fuzzy elevator group control system, in1996 Biennial Conf. of the North American Fuzzy Soci., Berkeley,CA, (1996), 109.113.

• [4] E. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man-Machine Studies, 1 (1975), 1.13.

• [5] S. Chopra, R. Mitra, V. Kumar, Fuzzy controller: Choosing an appropriate and smallest rule set, Int. J. Comp. Cognition, 3 (2005), 73.79.

• [6] G. Nurcahyo, S. Shamsuddin, R. Alias, M. Sap, Selection of defuzzication method to obtain crisp value for representing uncertain data in a modified sweep algorithm, J. Comp. Sci. Tech., 3 (2003), 22.28.