Fault Detection for Automotive Shock Absorber

12th European Workshop on Advanced Control and Diagnosis

Hernandez-Alcantara, Diana^1 ; Morales-Menendez, Ruben^1 ; Amezquita-Brooks, Luis^2

Tecnológico de Monterrey, School of Engineering and Sciences, Av Eugenio Garza Sada # 2501, Col. Tecnológico 64, Nuevo-León, Monterrey

849, Mexico^1

Universidad Autonoma de Nuevo León, Av. Universidad S/N 66, San-Nicolas de los Garza, Nuevo-León

451, Mexico^2

关键词: Additive faults;    Commercial vehicle modeling;    Fault detection schemes;    Model-based OPC;    Multiplicative nature;    Non-linear dynamics;    Parametric uncertainties;    Semi-active shock absorbers;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/659/1/012037/pdf
DOI  :  10.1088/1742-6596/659/1/012037

来源: IOP

【 摘 要 】

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.