Interval fuzzy modeling applied to model based fault detection of an active suspension system

This paper presented an investigation on fault detection of an active suspension system using interval fuzzy modeling. A well known nonlinear classical controller called back-stepping method is used to simulate dynamic response of a half-car suspension system. Confidence bands for the system input outputs data is approximated using an interval fuzzy model. Then Fault detection has been done by the use of these confidence bands. Simulation results depict that the proposed fault detection is highly effective in evaluating the performance of an active suspension system.