FAULT DIAGNOSIS OF AN ACTIVE SUSPENSION CONTROL SYSTEM

In recent years, hydraulic systems are used more and more in advanced automotive application fields such as active suspension control. These systems affect the handling, ride and safety of the vehicle to a large extent. At the same time faults occurring to the system would undoubtedly compromise the safety of the passengers. Due to this fact the operation of the system should be monitored together with a fault detection and failsafe strategy. In order to fulfill this task, model-based approaches are gaining more and more grounds for the fault diagnosis purposes which rely on a mathematical description of the system. These approaches bring the advantages of not requiring additional sensors which would increase the cost and decrease the reliability of the overall system. In this contribution a model-based fault detection applied on a vehicle control system is presented which rely on simple mathematical descriptions of the system and which yields a robust fault detection and isolation of faults against disturbances or model uncertainties affecting the system.