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Communication Dans Un Congrès Année : 2015

Fault Estimation Methods for Semi-Active Suspension Systems

Résumé

Semi-Active (SA) suspension systems aim to improve the stability and comfort of vehicles. Although they offer better performance than passive suspensions, the actuators such as magneto-rheological dampers are more susceptible to failure. Oil leakage is the most common fault, and its effect is a reduction of the damping force. The estimation of suspension faults can be used with a Fault Tolerant Control system to prevent handling and comfort deterioration. However, fault estimation schemes introduce additional challenges due to the damper non-linear dynamics and the strong influence of the disturbances (i.e the road profile). One of the first obstacles for appropriate damper fault detection is the modeling of the fault, which has been shown to be of multiplicative nature. However, many of the most widespread fault detection schemes consider additive faults due to mathematical convenience. Two complementary model-based fault estimation schemes for semi-active dampers are proposed: an observer-based approach, which is intended to estimate additive faults; and a parameter identification approach, which is intended to estimate multiplicative faults. The performance of these schemes is validated and compared through simulations using a pickup truck model. Early results shows that a parameter identification approach is more accurate in fault estimation, whereas an observer-based approach is less sensible to parametric uncertainty.
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Dates et versions

hal-01233700 , version 1 (25-11-2015)

Identifiants

  • HAL Id : hal-01233700 , version 1

Citer

Diana Hernandez-Alcantara, Ruben Morales-Menendez, Luis Amezquita-Brooks, Olivier Sename, Luc Dugard. Fault Estimation Methods for Semi-Active Suspension Systems. ROPEC 2015 - 17th IEEE International Autumn Meeting on Power, Electronics and Computing, Nov 2015, Ixtapa, Mexico. ⟨hal-01233700⟩
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