Anti-lock Braking System Control Based on Fuzzy Logic
Safety driving systems of the vehicles such as Anti-lock Braking System (ABS) assists drivers to control automotive to safe from road accidents. It is possible to reduce these accidents with proper calculations. The traditional ABS method used is reliable, but it can be developed using different techniques. In this article, fuzzy logic-controlled ABS is implemented to improve braking performance and directional stability by comparing two different defuzzification techniques. In the Fuzzy Logic Toolbox of the MATLAB package program, remarkable results have been obtained by using Centroid (COG) and Middle of Maxima (MoM) defuzzification methods.
 C.-K. Chen és M.-C. Shih, „PID-type fuzzy control for anti-lock brake systems with parameter adaptation,” JSME International Journal Series C Mechanical Systems, Machine Elements and Manufacturing, %1. kötet47, %1. szám2, pp. 675-685, 2004.
 L. A. Zadeh, „Fuzzy sets,” Information and control, %1. kötet8, %1. szám3, pp. 338-353, 1965.
 E. H. Mamdani és S. Assilian, „An experiment in linguistic synthesis with a fuzzy logic controller,” International journal of man-machine studies, %1. kötet7, %1. szám1, pp. 1-13, 1975.
 G. Chen, T. T. Pham és N. Boustany, „Introduction to fuzzy sets, fuzzy logic, and fuzzy control systems,” Appl. Mech. Rev, %1. kötet54, %1. szám6, pp. 102-103, 2001.
 V. Novák, Perfilieva és J. Močkoř, „Mathematical Principles of Fuzzy Logic. 1. vyd,” 1999.
 L. Pokoradi, „Fuzzy logic-based risk assessment,” AARMS, Academic and Applied Research in Military Science, %1. kötet1, %1. szám1, pp. 63-73, 2002.
 T. J. Ross, Fuzzy logic with engineering applications, Wiley Online Library, 2004.
 W. Van Leekwijck és E. E. Kerre, „Defuzzification: criteria and classification,” Fuzzy sets and systems, %1. kötet108, %1. szám2, pp. 159-178, 1999.
 E. Van Broekhoven és B. De Baets, „Fast and accurate center of gravity defuzzification of fuzzy system outputs defined on trapezoidal fuzzy partitions,” Fuzzy sets and systems, %1. kötet157, %1. szám7, pp. 904-918, 2006.
 V. Novák, I. Perfilieva és J. Mockor, Mathematical principles of fuzzy logic, Springer Science \& Business Media, 2012.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Bánki Közlemények is loyal to open access for academic work. All the original articles and review papers published in this journal are free to access immediately from the date of publication. We don’t charge any fees for any reader to download articles and reviews for their own scholarly use.
The Bánki Közlemények also operates under the Creative Commons Licence CC-BY-NC-ND. This allows for the reproduction of articles, free of charge, for non-commercial use only and with the appropriate citation information. All authors publishing with the Bánki Közlemények accept these as the terms of publication.