Title: Fault detection and isolation of vehicle suspension system using robust unknown input observers

Authors: S. Mondal, G. Chakraborty, K. Bhattacharyya

Addresses: Department of Mechanical Engineering, Pohang University of Science and Technology (Postech), Pohang, 790-784, South Korea. ' Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India. ' Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

Abstract: A method of Fault Detection and Isolation (FDI) for vehicle suspension systems in the presence of exogenous noise and parametric uncertainties is presented. First, a new kind of reduced-order Robust Unknown Input Observer (RUIO) is designed based on Linear Matrix Inequality (LMI) approach. Then, using a bank of such observers, a component FDI algorithm is derived. Simulation results with the help of half-car model show the efficacies of the FDI algorithm as well as the observer.

Keywords: unknown input observers; LMI; linear matrix inequality; FDI; fault detection; isolation; parameter estimation; vehicle modelling; vehicle suspensions; exogenous noise; parametric uncertainty; simulation; half-car model.

DOI: 10.1504/IJVSMT.2008.025407

International Journal of Vehicle Systems Modelling and Testing, 2008 Vol.3 No.4, pp.331 - 347

Published online: 21 May 2009 *

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