Diagnosis of active dynamic control systems using virtual sensors and observers

Abstract

During the last decade modern advanced Automotive is based on an electro-hydraulic system which mechatronical systems consisting of sensors, processor units, is used to reduce the roll angle of the vehicle and improve electronics, and actuators have been introduced to passenger the comfort and to change the dynamic behavior of the cars. The applications ranging from adaptive cruise control, vehicle in order to improve its handling. The system is steering assist, stability control and active suspension systems actuated by hydraulic cylinders attached between the antioffer great benefits for the handling, comfort, and safety of roll bar and the chassis as seen in Figure 1, [4]. The the vehicles. At the same time any malfunction of these rolicsare sis a seen in Fit 1, and systems could compromise the safety of the driver and the hydraulics are supplied by a motor pump unit (MPU) and passengers. controlled by an electro-hydraulic control unit (EHCU).Due to this fact the operation of the system should be The MPU supplies during the operation variable hydraulic monitored and faults occurring to the system shall be flow to the system dependent on the vehicle state. The detected and isolated as fast as possible. In order to avoid EHCU consists of a pressure control valve (PCV) additional sensors, hence increasing cost and decreasing regulating the pressure, a directional control valve (DCV) reliability, model-based approaches have been gaining more controlling the direction of hydraulic flow and a failsafe and more grounds in this field. valve (FSV) with the ability to lock the system to someIn this contribution a model-based fault detection applied on a vehicle control system is presented which rely on extenthence ensuring a failsafe state.

Effects of Spring Stiffness on Suspension Performances Using Full Vehicle Models

“…Metallidis [10], applied a statistical system identification technique to perform parametric identification and fault detection of nonlinear vehicle suspension systems. Kashi [11] applied model-based fault detection on a vehicle control system, which relied on mathematical descriptions of the system, yielding robust fault detection and an isolation of faults affecting the system. Agharkakli et al [12] presented a mathematical model for passive and active quarter car suspension systems.…”

Vehicle Suspension Performance Analysis Based on Full Vehicle Model for Condition Monitoring Development

“…In Metallidis [9], statistical system identification technique was applied for performing parametric identification and fault detection of nonlinear vehicle suspension system. A modelbased fault detection applied on a vehicle control system has been presented by Kashi [10], which relies on mathematical descriptions of the system and which yields a robust fault detection and isolation of faults affecting the system. Agharkakli et al [11] presents a mathematical model for passive and active of quarter car suspension system.…”

Effects of Tyre Pressure on Vehicle Suspension Performance

“…In Metallidis [19], statistical system identification technique was applied for performing parametric identification and fault detection of nonlinear vehicle suspension system. A model-based fault detection applied on a vehicle control system has been presented by Kashi [20], which relies on mathematical descriptions of the system and which yields a robust fault detection and isolation of faults affecting the system. Agharkakli et al [21] presents a mathematical model for passive and active of quarter car suspension system.…”