Fault Detection for Automotive Shock Absorber

Hernandez Alcantara, Diana y Morales Menendez, Ruben y Amézquita Brooks, Luis Antonio (2015) Fault Detection for Automotive Shock Absorber. Journal of Physics: Conference Series, 659. 012037. ISSN 1742-6588

Vista previa

Texto 107.pdf - Versión Publicada Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Vista previa

Resumen

Fault detection for automotive semi-active shock absorbers is a challenge due to the non-linear dynamics and the strong influence of the disturbances such as the road profile. First obstacle for this task, is the modeling of the fault, which has been shown to be of multiplicative nature. Many of the most widespread fault detection schemes consider additive faults. Two model-based fault algorithms for semiactive shock absorber are compared: an observer-based approach and a parameter identification approach. The performance of these schemes is validated and compared using a commercial vehicle model that was experimentally validated. Early results shows that a parameter identification approach is more accurate, whereas an observer-based approach is less sensible to parametric uncertainty.

Actions (login required)

Ver elemento