Earticle

초록

영어

In this research study, one of the most crucial automotive engineering problems is intended to be solved. The necessity of tire pressure monitoring system is beyond doubt. Such systems are now provided relying on expensive sensors. In this study an indirect tire pressure monitoring system is proposed, utilizing identification techniques, which will reduce the cost of monitoring considerably in comparison to direct types, while keeping it just as reliable as the conventional types. A comprehensive study on system’s parameters was undertaken by MATLAB-IDENTIFICATION toolbox, in order to find a proper method to estimate tire pressure indirectly. The best method was chosen among five well-known estimation methods, including Space State, AR, ARMA, NLARX and Wiener-Hammerstein. It was shown, the best method to estimate the pressure of a properly inflated tire is NLARX with a 94.51% precision while the best estimation for an under-inflated tire pressure is ARMA with a 92.3% accuracy.

목차

Abstract
 1. Introduction
 2. Identification Techniques
  2.1. AR Estimation
  2.2. ARMA Estimation
  2.3. NLARX estimation
  2.4. Hammerstein-Wiener Estimation
 3. Discussion and Analysis
 4. Conclusion
 References

키워드

저자

• Masoud Goharimanesh [ Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran ]
• Aminreza Riahi [ Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran ]
• Ali Lashkaripour [ Department of Biomedical Engineering, Boston University, Boston, United states of America ]
• Ali Akbar Akbari [ Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605