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General Information
    • ISSN: 2010-3700
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus(since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2012 Vol.2(5): 544-547 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2012.V2.185

Fuzzy Controller Design for a Novel Vehicle Rollover Prevention system

Pedram Safi and Moein Mahmoodzadeh Entezari
Abstract—Vehicles rollover is considered as one of the most significant causes of injuries and fatalities in road accidents. Thus, automotive engineers have always been interested in devising mechanisms or modifying the vehicle design in order to prevent rollover. In this research, an active stabilizer is used to improve the roll stability of a SUV (sport utility vehicle). A novel fuzzy mamdani controller is designed in order to improve the performance of the anti-rollover system. Performance of the system is then evaluated using CarSim which is a car dynamic simulation software, while the Controller is implemented in Simulink Environment. Matlab/CarSim Co-simulation of the models during standard maneuvers demonstrates the versatility and reliability of the proposed mechanism in improving the vehicle roll motion stability and thus preventing rollover when necessary.

Index Terms—Rollover prevention, fuzzy controller, CarSim.

The authors are with the Department of Mechanical Engineering, Islamic Azad University – Karaj branch, Karaj, Iran (e-mail: Safi.pedram@gmail.com; m.m.entezari@gmail.com).


Cite:Pedram Safi and Moein Mahmoodzadeh Entezari, "Fuzzy Controller Design for a Novel Vehicle Rollover Prevention system," International Journal of Machine Learning and Computing vol.2, no. 5, pp. 544-547, 2012.

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