Sensor fault detection algorithm for Continuous Damping Control (CDC) system

Abstract

This paper presents a model based sensor fault detection and isolation algorithm for the vertical acceleration sensors of the Continuous Damping Control (CDC) system, installed on the sprung mass. Since sensor faults of CDC system have a critical influence on the ride performance as well as the vehicle stability, the sensor fault detection algorithm must be implemented into the overall CDC algorithm. In this paper, each vertical acceleration sensor installed on the sprung mass (two in the front corners and one in the rear) separately estimates the vertical acceleration of the center of gravity of the sprung mass. Then, the sensor fault is detected by cross-checking all three vertical acceleration estimates independently obtained by the each vertical acceleration sensor. Since the pitch and roll acceleration of the sprung mass are required in order to estimate the vertical acceleration of the center of gravity of the sprung mass and there is no sensor to measure them in the CDC system, the pitch and roll acceleration of the sprung mass should be estimated using the longitudinal and lateral acceleration measurements. Simulation results show the feasibility and effectiveness of the proposed fault detection and isolation algorithm.