Fault detection and isolation of vehicle suspension system using robust unknown input observers Online publication date: Thu, 21-May-2009
by S. Mondal, G. Chakraborty, K. Bhattacharyya
International Journal of Vehicle Systems Modelling and Testing (IJVSMT), Vol. 3, No. 4, 2008
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.
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