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

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.