Fault tolerant sensors for vehicle dynamics control

Driver assistance systems need more and more accurate information about the vehicle driving situation. If one of these sensors gives faulty information, driver assistance systems can not appraise the current driving situation. Therefore, a fault tolerant sensor system is introduced. Based on modelling the vehicle dynamics, a fault detection and diagnosis is developed. A Kalman Filter and a two-track model is designed to create analytical signals replacing the faulty sensor. By reconfiguring the Kalman Filter the yaw rate, the longitudinal acceleration or the lateral acceleration can be estimated with small discrepancies. Thus, it is possible to generate a fault tolerant sensor system of these sensors.