Model-Based Fault Diagnosis of Actuators in Electronically Controlled Air Suspension System

Abstract

The air suspension adjusts the height of the vehicle body through charging and bleeding air to meet the high performance of the vehicle, which needs a reliable electronic control system. Through fault tree analysis of the electronically controlled air suspension (ECAS) system and considering the correlation between the duty cycle and flow rate of the air spring solenoid valve, the fault model of the solenoid valve is constructed, and the fault diagnosis design method of the ECAS system solenoid valve based on multiple extended Kalman filter banks (EKFs) is proposed. An adaptive threshold is used to realize fault diagnosis, and active fault-tolerant control is carried out based on an analytical model. The real controller based on d2p rapid prototyping technology and the vehicle model based on AMESim are further verified on the hardware-in-the-loop (HiL) simulation test platform and compared with the pure simulation results. The test results show that the fault diagnosis and fault-tolerant control algorithm can work normally in the actual controller, and can effectively realize the fault diagnosis and fault-tolerant control of the actuator in the vehicle ECAS system.

Novel Methodology for Integrated Actuator and Sensors Fault Detection and Estimation in an Active Suspension System

“…where Q and R are the weighting matrices to design. The objective is to minimize the cost function in (38) subject to the maximum allowable applied force of the actuator and the maximum deflection that the suspension can withstand due to its physical limitations. The optimization problem to solve is described in (39).…”

“…In [35] and [36], a robust unknown input observer (UIO) is used to estimate faults in the actuators of a semi-active suspension. The use of a bank of observers is a common approach to detect faults as it can be seen in [37], where a bank of sliding mode observers is used to detect faults in sensors of a full suspension system while in [38] and [39] bank of extended and unscented Kalman filters is used for the same purpose. The H ∞ approach is also used to design robust observers for FD in suspension systems in [40] and [41] so that the close-loop effect of the disturbances over the estimations are minimized following the H ∞ criteria.…”

Development of Static Test Equipment and a System for Lever-Loaded Air Springs

“…The piston diameter is 140 mm, the air spring length is 160 mm and the initial air pressure is set at 4.5 bar. In addition, AMESim provides a variable batch parameter function, which can analyze the impact on the system when specific parameters are changed [23,24]. The initial air pressure of the air spring and the volume value of the air spring are changed; that is, the length of the air spring is changed during the simulation and the curves obtained are shown in Figures 17 and 18.…”

Advanced X-by-Wire Technologies in Design, Control and Measurement for Vehicular Electrified Chassis

“…The advantages of the bridge network were demonstrated, and a real vehicle test shows that the mechatronic inertial suspension based on the bridge network is superior to the passive suspension. Reference [5] proposes a fault diagnosis design method for the solenoid valve in the electronically controlled air suspension (ECAS) system based on multiple extended Kalman filter banks (EKFs). The fault model of the solenoid valve was built by the fault tree analysis of the ECAS system and considered the correlation between the duty cycle and flow rate of the air spring solenoid valve.…”