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Model-Based Sensor Fault Detection and Isolation in a Steer-by-Wire System with Parameter Uncertainties
barcelona2004/F2004SC20

Authors

Pierluigi Pisu* - The Ohio State University
Giorgio Rizzoni - The Ohio State University
Andrea Serrani - The Ohio State University

Abstract

Abstract:

A real challenge in many applications is the design of a FDI scheme that is able to distinguish between model uncertainties and occurrence of faults. In this paper, we present a passive robust design technique for fault detection and isolation of sensor faults in a steer-by-wire system. The proposed method is based on classic Luenberger observers endowed with adaptive thresholds that are dynamically varying and follow the behavior of the residuals in absence of faults. In the presence of a fault, the residual will cross the adaptive threshold and a flag is activated. Simulation results on a validated vehicle model are reported to demonstrate the effectiveness of the proposed approach.

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