Goharimanesh, M., Riahi, A., Lashkaripour, A., Akbari, A. (2016). Tire Inflation Pressure Estimation Using Identification Techniques. International Journal of Information, Security and Systems Management, 5(1), 527-532.
Masoud Goharimanesh; Aminreza Riahi; Ali Lashkaripour; Ali Akbar Akbari. "Tire Inflation Pressure Estimation Using Identification Techniques". International Journal of Information, Security and Systems Management, 5, 1, 2016, 527-532.
Goharimanesh, M., Riahi, A., Lashkaripour, A., Akbari, A. (2016). 'Tire Inflation Pressure Estimation Using Identification Techniques', International Journal of Information, Security and Systems Management, 5(1), pp. 527-532.
Goharimanesh, M., Riahi, A., Lashkaripour, A., Akbari, A. Tire Inflation Pressure Estimation Using Identification Techniques. International Journal of Information, Security and Systems Management, 2016; 5(1): 527-532.
Tire Inflation Pressure Estimation Using Identification Techniques
1Department of Mechanical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
2Department of Electrical Engineering, Ferdowsi University of Mashhad, Mashhad, Iran
3Department of Biomedical Engineering, Boston University, Boston, United States of America
4Department of Mechanical Engineering,Ferdowsi,University of Mashhad Iran
Abstract
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.
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